default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNesreen K. Ahmed
Nesreen Kamel Ahmed
Person information
- affiliation: Cisco AI Research, USA
- affiliation: Intel Corporation, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j25]Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. Trans. Mach. Learn. Res. 2025 (2025)- [j24]Hongjie Chen
, Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park, Yu Wang, Tyler Derr, Hoda Eldardiry:
Edges Matter: An Analysis of Graph Time-Series Representations for Temporal Networks. IEEE Trans. Netw. Sci. Eng. 12(6): 4863-4875 (2025) - [c71]Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley:
From Selection to Generation: A Survey of LLM-based Active Learning. ACL (1) 2025: 14552-14569 - [c70]Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt:
GUI Agents: A Survey. ACL (Findings) 2025: 22522-22538 - [c69]Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan:
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. ICASSP 2025: 1-5 - [c68]Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr:
A Large-scale Training Paradigm for Graph Generative Models. ICLR 2025 - [c67]Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Nesreen K. Ahmed, Theodore L. Willke, Ali Jannesari:
ConTraPh: Contrastive Learning for Parallelization and Performance Optimization. ICS 2025: 596-610 - [c66]Le Chen, Nesreen K. Ahmed, Mihai Capota, Ted Willke, Niranjan Hasabnis, Ali Jannesari:
PCEBench: A Multi-Dimensional Benchmark for Evaluating Large Language Models in Parallel Code Generation. IPDPS 2025: 546-557 - [c65]Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang:
Machine Learning on Graphs in the Era of Generative Artificial Intelligence. KDD (2) 2025: 6296-6297 - [c64]Yu Wang, Ryan A. Rossi, Namyong Park, Nesreen K. Ahmed, Danai Koutra, Franck Dernoncourt, Tyler Derr:
Demystifying the Power of Large Language Models in Graph Generation. NAACL (Findings) 2025: 8174-8189 - [c63]Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Le Chen, Mihai Capota, Theodore L. Willke, Nesreen K. Ahmed, Ali Jannesari:
AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs. NAACL (Long Papers) 2025: 11821-11841 - [c62]Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan:
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance. WWW (Companion Volume) 2025: 2651-2660 - [i92]Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan:
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. CoRR abs/2501.00994 (2025) - [i91]Steven Au, Cameron J. Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A. Rossi, Nesreen K. Ahmed:
Personalized Graph-Based Retrieval for Large Language Models. CoRR abs/2501.02157 (2025) - [i90]Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan:
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance. CoRR abs/2501.11849 (2025) - [i89]Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr:
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR abs/2502.06872 (2025) - [i88]Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley:
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025) - [i87]Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao:
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR abs/2505.14106 (2025) - [i86]Utkarsh Sahu, Zhisheng Qi, Yongjia Lei, Ryan A. Rossi, Franck Dernoncourt, Nesreen K. Ahmed, Mahantesh M. Halappanavar, Yao Ma, Yu Wang:
A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models. CoRR abs/2505.19286 (2025) - [i85]Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun:
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. CoRR abs/2506.08140 (2025) - [i84]Mayank Bumb, Anshul Vemulapalli, Sri Harsha Vardhan Prasad Jella, Anish Gupta, An La, Ryan A. Rossi, Hongjie Chen, Franck Dernoncourt, Nesreen K. Ahmed, Yu Wang:
Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition. CoRR abs/2506.12953 (2025) - [i83]Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Van Nguyen, Daksh Dangi, Abel Salinas, Mohammad Reza Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Jaemin Cho, Anh Totti Nguyen, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt:
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. CoRR abs/2507.07202 (2025) - [i82]Leyao Wang, Xutao Mao, Xuhui Zhan, Yuying Zhao, Bo Ni, Ryan A. Rossi, Nesreen K. Ahmed, Tyler Derr:
Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation. CoRR abs/2508.01128 (2025) - [i81]Durga Prasad Maram, Dhruvin Gandhi, Zonghai Yao, Gayathri Akkinapalli, Franck Dernoncourt, Yu Wang, Ryan A. Rossi, Nesreen K. Ahmed:
Iterative Critique-Refine Framework for Enhancing LLM Personalization. CoRR abs/2510.24469 (2025) - [i80]Arijit Bhattacharjee, Ali TehraniJamsaz, Le Chen, Niranjan Hasabnis, Mihai Capota, Nesreen K. Ahmed, Ali Jannesari:
OMPILOT: Harnessing Transformer Models for Auto Parallelization to Shared Memory Computing Paradigms. CoRR abs/2511.03866 (2025) - 2024
- [j23]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. Comput. Linguistics 50(3): 1097-1179 (2024) - [j22]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5(5): 2011-2025 (2024) - [j21]April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18(6): 138:1-138:23 (2024) - [j20]Kewei Cheng, Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Yizhou Sun:
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. ACM Trans. Knowl. Discov. Data 18(9): 225:1-225:44 (2024) - [c61]Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun:
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. EMNLP 2024: 9407-9430 - [c60]Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. Euro-Par (1) 2024: 121-134 - [c59]Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy G. Mattson, Gal Oren:
MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks. HPEC 2024: 1-7 - [c58]Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. ICLR 2024 - [c57]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024 - [c56]Nesreen K. Ahmed, Manoj Kumar:
GrAPL 2024 Preface and Committees. IPDPS (Workshops) 2024: 447-448 - [c55]Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A Structure-Aware Framework for Learning Device Placements on Computation Graphs. NeurIPS 2024 - [c54]Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari:
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming. NeurIPS 2024 - [c53]Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed:
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM 2024: 1210-1211 - [i79]Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. CoRR abs/2401.16445 (2024) - [i78]Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024) - [i77]Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy G. Mattson, Gal Oren:
MPIrigen: MPI Code Generation through Domain-Specific Language Models. CoRR abs/2402.09126 (2024) - [i76]Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun:
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR abs/2402.13415 (2024) - [i75]Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. CoRR abs/2403.11004 (2024) - [i74]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR abs/2404.01578 (2024) - [i73]Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A structure-aware framework for learning device placements on computation graphs. CoRR abs/2405.14185 (2024) - [i72]Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr:
Large Generative Graph Models. CoRR abs/2406.05109 (2024) - [i71]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - [i70]Tal Kadosh, Niranjan Hasabnis, Prema Soundararajan, Vy A. Vo, Mihai Capota, Nesreen K. Ahmed, Yuval Pinter, Gal Oren:
OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation. CoRR abs/2409.14771 (2024) - [i69]Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen:
A Survey of Small Language Models. CoRR abs/2410.20011 (2024) - [i68]Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari:
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming. CoRR abs/2410.20527 (2024) - [i67]Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024) - [i66]Anish Pahilajani, Devasha Trivedi, Jincen Shuai, Khin S. Yone, Samyak Rajesh Jain, Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Franck Dernoncourt, Yu Wang:
GRS-QA - Graph Reasoning-Structured Question Answering Dataset. CoRR abs/2411.00369 (2024) - [i65]Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley:
Personalized Multimodal Large Language Models: A Survey. CoRR abs/2412.02142 (2024) - [i64]Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt:
GUI Agents: A Survey. CoRR abs/2412.13501 (2024) - [i63]Jiangnan Fang, Cheng-Tse Liu, Jieun Kim, Yash Bhedaru, Ethan Liu, Nikhil Singh, Nedim Lipka, Puneet Mathur, Nesreen K. Ahmed, Franck Dernoncourt, Ryan A. Rossi, Hanieh Deilamsalehy:
Multi-LLM Text Summarization. CoRR abs/2412.15487 (2024) - 2023
- [c52]Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. IEEE Big Data 2023: 542-547 - [c51]Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. ICLR 2023 - [c50]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR 2023 - [c49]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Augmenting Recurrent Graph Neural Networks with a Cache. KDD 2023: 1608-1619 - [c48]Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys 2023 - [c47]Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS 2023 - [c46]Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. NeurIPS 2023 - [c45]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed:
A ML-based Approach for HTML-based Style Recommendation. WWW (Companion Volume) 2023: 9-13 - [c44]Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park:
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) 2023: 14-18 - [i62]Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. CoRR abs/2303.03581 (2023) - [i61]Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR abs/2305.05779 (2023) - [i60]Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. CoRR abs/2306.00210 (2023) - [i59]April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. CoRR abs/2307.03929 (2023) - [i58]Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Scope is all you need: Transforming LLMs for HPC Code. CoRR abs/2308.09440 (2023) - [i57]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. CoRR abs/2309.00770 (2023) - [i56]Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Nesreen K. Ahmed, Ali Jannesari:
AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models. CoRR abs/2310.04047 (2023) - [i55]Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari:
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset. CoRR abs/2311.06505 (2023) - [i54]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR abs/2311.17856 (2023) - [i53]Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR abs/2312.05657 (2023) - [i52]Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR abs/2312.13322 (2023) - 2022
- [j19]Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry:
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34(5): 2401-2415 (2022) - [j18]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. ACM Trans. Web 16(3): 11:1-11:47 (2022) - [c43]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CIKM 2022: 3694-3704 - [c42]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML 2022: 18463-18482 - [c41]Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis:
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. ECML/PKDD (2) 2022: 86-103 - [c40]Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed:
Technology Growth Ranking Using Temporal Graph Representation Learning. WWW (Companion Volume) 2022: 290-293 - [c39]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW 2022: 1115-1126 - [i51]Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis:
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. CoRR abs/2201.09086 (2022) - [i50]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR abs/2204.08504 (2022) - [i49]Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR abs/2204.11981 (2022) - [i48]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CoRR abs/2206.03635 (2022) - [i47]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR abs/2206.09280 (2022) - [i46]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR abs/2209.10818 (2022) - [i45]April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022) - [i44]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Chan, Eunyee Koh, Nesreen K. Ahmed:
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR abs/2212.14077 (2022) - 2021
- [j17]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35(3): 688-725 (2021) - [j16]John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Node Embeddings From Edge Streams. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 931-946 (2021) - [j15]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15(1): 9:1-9:43 (2021) - [j14]Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Online Sampling of Temporal Networks. ACM Trans. Knowl. Discov. Data 15(4): 59:1-59:27 (2021) - [c38]Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. AAAI 2021: 11168-11176 - [c37]Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed:
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData 2021: 1858-1866 - [c36]Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM 2021: 4085-4093 - [c35]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys 2021 - [c34]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: scalable distributed training for large-scale graph neural networks. SC 2021: 76 - [i43]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. CoRR abs/2102.06343 (2021) - [i42]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR abs/2104.06700 (2021) - [i41]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR abs/2111.14674 (2021) - 2020
- [j13]Ryan A. Rossi, Nesreen K. Ahmed:
Correction to: Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 10(1): 19 (2020) - [j12]Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. ACM Trans. Knowl. Discov. Data 14(5): 63:1-63:37 (2020) - [j11]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 32(3): 438-452 (2020) - [c33]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO 2020: 242-255 - [c32]Nesreen K. Ahmed, Nick Duffield:
Adaptive Shrinkage Estimation for Streaming Graphs. NeurIPS 2020 - [c31]John Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed:
Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions. SDM 2020: 631-639 - [c30]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori:
A Structural Graph Representation Learning Framework. WSDM 2020: 483-491 - [c29]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) 2020: 10-12 - [c28]Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed:
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) 2020: 32-34 - [c27]Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed:
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) 2020: 42-43 - [i40]Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Inferring Individual Level Causal Models from Graph-based Relational Time Series. CoRR abs/2001.05993 (2020) - [i39]Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. CoRR abs/2009.13566 (2020) - [i38]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR abs/2010.04414 (2020) - [i37]Sriram Aananthakrishnan, Nesreen K. Ahmed, Vincent Cavé, Marcelo Cintra, Yigit Demir, Kristof Du Bois, Stijn Eyerman, Joshua B. Fryman, Ivan Ganev, Wim Heirman, Hans-Christian Hoppe, Jason Howard, Ibrahim Hur, Midhunchandra Kodiyath, Samkit Jain, Daniel S. Klowden, Marek M. Landowski, Laurent Montigny, Ankit More, Przemyslaw Ossowski, Robert Pawlowski, Nick Pepperling, Fabrizio Petrini, Mariusz Sikora, Balasubramanian Seshasayee, Shaden Smith, Sebastian Szkoda, Sanjaya Tayal, Jesmin Jahan Tithi, Yves Vandriessche, Izajasz P. Wrosz:
PIUMA: Programmable Integrated Unified Memory Architecture. CoRR abs/2010.06277 (2020) - [i36]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. CoRR abs/2010.14058 (2020)
2010 – 2019
- 2019
- [j10]Ryan A. Rossi, Nesreen K. Ahmed:
Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 9(1): 51:1-51:13 (2019) - [j9]John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. ACM Trans. Knowl. Discov. Data 13(6): 62:1-62:25 (2019) - [j8]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Estimation of Graphlet Counts in Massive Networks. IEEE Trans. Neural Networks Learn. Syst. 30(1): 44-57 (2019) - [c26]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Deep Graph Similarity Learning for Brain Data Analysis. CIKM 2019: 2743-2751 - [i35]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Network Motifs. CoRR abs/1901.10026 (2019) - [i34]John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Temporal Network Representation Learning. CoRR abs/1904.06449 (2019) - [i33]Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR abs/1906.05059 (2019) - [i32]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Linear-time Hierarchical Community Detection. CoRR abs/1906.06432 (2019) - [i31]Nesreen K. Ahmed, Nick Duffield:
Network Shrinkage Estimation. CoRR abs/1908.01087 (2019) - [i30]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica:
Deep Reinforcement Learning in System Optimization. CoRR abs/1908.01275 (2019) - [i29]Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
From Community to Role-based Graph Embeddings. CoRR abs/1908.08572 (2019) - [i28]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR abs/1909.13639 (2019) - [i27]Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Temporal Network Sampling. CoRR abs/1910.08657 (2019) - [i26]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep Graph Similarity Learning: A Survey. CoRR abs/1912.11615 (2019) - 2018
- [j7]Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry:
Interactive Visual Graph Mining and Learning. ACM Trans. Intell. Syst. Technol. 9(5): 59:1-59:25 (2018) - [c25]Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks. IEEE BigData 2018: 1085-1092 - [c24]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed, Hoda Eldardiry:
Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs. IEEE BigData 2018: 1807-1816 - [c23]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Interactive Higher-Order Network Analysis. ICDM Workshops 2018: 1441-1446 - [c22]Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia:
Sampling for Approximate Bipartite Network Projection. IJCAI 2018: 3286-3292 - [c21]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. IJCNN 2018: 1-8 - [c20]Nesreen K. Ahmed:
GraML 2018 Keynote. IPDPS Workshops 2018: 1168 - [c19]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Higher-order Network Representation Learning. WWW (Companion Volume) 2018: 3-4 - [c18]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Network Representation Learning. WWW (Companion Volume) 2018: 953-960 - [c17]Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Continuous-Time Dynamic Network Embeddings. WWW (Companion Volume) 2018: 969-976 - [e1]Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - [i25]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
HONE: Higher-Order Network Embeddings. CoRR abs/1801.09303 (2018) - [i24]Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry:
Learning Role-based Graph Embeddings. CoRR abs/1802.02896 (2018) - [i23]John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. CoRR abs/1807.07984 (2018) - [i22]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR abs/1811.02662 (2018) - 2017
- [j6]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield, Theodore L. Willke:
Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. 50(3): 689-722 (2017) - [j5]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. Proc. VLDB Endow. 10(11): 1430-1441 (2017) - [c16]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
A Higher-Order Latent Space Network Model. AAAI Workshops 2017 - [c15]Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan:
E-CLoG: Counting edge-centric local graphlets. IEEE BigData 2017: 586-595 - [c14]Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu:
Stream Aggregation Through Order Sampling. CIKM 2017: 909-918 - [c13]Kayhan Özcimder, Biswadip Dey, Sebastian Musslick, Giovanni Petri, Nesreen K. Ahmed, Theodore L. Willke, Jonathan D. Cohen:
A Formal Approach to Modeling the Cost of Cognitive Control. CogSci 2017 - [c12]Shaden Smith, Xing Liu, Nesreen K. Ahmed, Ancy Sarah Tom, Fabrizio Petrini, George Karypis:
Truss decomposition on shared-memory parallel systems. HPEC 2017: 1-6 - [c11]Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis:
Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. HPEC 2017: 1-7 - [c10]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Edge Role Discovery via Higher-Order Structures. PAKDD (1) 2017: 291-303 - [i21]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Estimation of Graphlet Statistics. CoRR abs/1701.01772 (2017) - [i20]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. CoRR abs/1703.02625 (2017) - [i19]Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu:
Stream Aggregation Through Order Sampling. CoRR abs/1703.02693 (2017) - [i18]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Feature Learning for Graphs. CoRR abs/1704.08829 (2017) - [i17]James P. Canning, Emma E. Ingram, Sammantha Nowak-Wolff, Adriana M. Ortiz, Nesreen K. Ahmed, Ryan A. Rossi, Karl Robert Bruce Schmitt, Sucheta Soundarajan:
Network Classification and Categorization. CoRR abs/1709.04481 (2017) - [i16]Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
A Framework for Generalizing Graph-based Representation Learning Methods. CoRR abs/1709.04596 (2017) - [i15]Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
Representation Learning in Large Attributed Graphs. CoRR abs/1710.09471 (2017) - [i14]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. CoRR abs/1710.10335 (2017) - [i13]Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia:
Estimating Node Similarity by Sampling Streaming Bipartite Graphs. CoRR abs/1712.08685 (2017) - 2016
- [c9]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Estimation of local subgraph counts. IEEE BigData 2016: 586-595 - [c8]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Exact and Estimation of Local Edge-centric Graphlet Counts. BigMine 2016: 1-17 - [i12]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Relational Similarity Machines. CoRR abs/1608.00876 (2016) - [i11]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Revisiting Role Discovery in Networks: From Node to Edge Roles. CoRR abs/1610.00844 (2016) - 2015
- [b1]Nesreen Kamel Ahmed:
Scaling Up Network Analysis and Mining: Statistical Sampling, Estimation, and Pattern Discovery. Purdue University, USA, 2015 - [j4]Ryan A. Rossi, Nesreen K. Ahmed:
An Interactive Data Repository with Visual Analytics. SIGKDD Explor. 17(2): 37-41 (2015) - [j3]Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. IEEE Trans. Knowl. Data Eng. 27(4): 1112-1131 (2015) - [c7]Ryan A. Rossi, Nesreen K. Ahmed:
The Network Data Repository with Interactive Graph Analytics and Visualization. AAAI 2015: 4292-4293 - [c6]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Efficient Graphlet Counting for Large Networks. ICDM 2015: 1-10 - [c5]Nesreen Kamel Ahmed, Ryan Anthony Rossi:
Interactive Visual Graph Analytics on the Web. ICWSM 2015: 566-569 - [i10]Nesreen K. Ahmed, Ryan A. Rossi:
A Web-based Interactive Visual Graph Analytics Platform. CoRR abs/1502.00354 (2015) - [i9]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Fast Parallel Graphlet Counting for Large Networks. CoRR abs/1506.04322 (2015) - 2014
- [j2]Ryan A. Rossi, Nesreen K. Ahmed:
Coloring large complex networks. Soc. Netw. Anal. Min. 4(1): 228 (2014) - [c4]Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella:
Graph sample and hold: a framework for big-graph analytics. KDD 2014: 1446-1455 - [i8]Ryan A. Rossi, Nesreen K. Ahmed:
Coloring Large Complex Networks. CoRR abs/1403.3448 (2014) - [i7]Nesreen K. Ahmed, Christopher Cole, Jennifer Neville:
Learning the Latent State Space of Time-Varying Graphs. CoRR abs/1403.3707 (2014) - [i6]Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella:
Graph Sample and Hold: A Framework for Big-Graph Analytics. CoRR abs/1403.3909 (2014) - [i5]Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. CoRR abs/1405.7134 (2014) - [i4]Ryan A. Rossi, Nesreen K. Ahmed:
NetworkRepository: A Graph Data Repository with Visual Interactive Analytics. CoRR abs/1410.3560 (2014) - 2013
- [j1]Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Network Sampling: From Static to Streaming Graphs. ACM Trans. Knowl. Discov. Data 8(2): 7:1-7:56 (2013) - 2012
- [c3]Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Network Sampling Designs for Relational Classification. ICWSM 2012 - [c2]Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Space-efficient sampling from social activity streams. BigMine 2012: 53-60 - [i3]Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Space-Efficient Sampling from Social Activity Streams. CoRR abs/1206.4952 (2012) - [i2]Ayman Farahat, Nesreen K. Ahmed, Utpal M. Dholakia:
Does a Daily Deal Promotion Signal a Distressed Business? An Empirical Investigation of Small Business Survival. CoRR abs/1211.1694 (2012) - [i1]Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Network Sampling: From Static to Streaming Graphs. CoRR abs/1211.3412 (2012) - 2010
- [c1]Nesreen K. Ahmed, Fredrick J. Berchmans, Jennifer Neville, Ramana Rao Kompella:
Time-based sampling of social network activity graphs. MLG@KDD 2010: 1-9
Coauthor Index
Nick G. Duffield
aka: Nick Duffield
aka: Nick Duffield
Ryan A. Rossi
aka: Ryan Anthony Rossi
aka: Ryan Anthony Rossi
[j25] [j24] [c71] [c70] [c68] [c64] [i91] [i89] [i88] [i87] [i86] [i84] [i83] [i82] [i81] [j23] [j21] [j20] [c58] [c57] [i75] [i74] [i72] [i69] [i67] [i66] [i65] [i64] [i63] [c52] [c50] [c47] [c45] [c44] [i59] [i57] [i54] [j19] [j18] [c43] [c42] [c39] [i50] [i48] [i47] [i45] [i44] [j16] [j15] [j14] [c38] [c36] [i43] [i41] [j13] [j12] [j11] [c30] [c29] [c28] [c27] [i40] [i39] [i36] [j10] [j9] [j8] [i35] [i34] [i33] [i32] [i29] [i27] [j7] [c25] [c24] [c23] [c21] [c19] [c18] [c17] [i25] [i24] [i23] [j6] [j5] [c16] [c10] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [c9] [c8] [i12] [i11] [j4] [j3] [c7] [c6] [c5] [i10] [i9] [j2] [i8] [i5] [i4]
Theodore L. Willke
aka: Ted Willke
aka: Ted Willke
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-12-26 00:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
