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2020 – today
- 2023
[j27]Hongjie Chen
, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Probabilistic Time-series Forecasting. ACM Trans. Knowl. Discov. Data 17(2): 26:1-26:30 (2023)- [j26]Abhraneel Sarma, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh, Matthew Kay:
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. IEEE Trans. Vis. Comput. Graph. 29(1): 602-612 (2023) - [c93]Xinyu Shi, Ziqi Zhou, Jing Wen Zhang, Ali Neshati, Anjul Kumar Tyagi, Ryan A. Rossi, Shunan Guo, Fan Du, Jian Zhao:
De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. CHI 2023: 122:1-122:19 - [c92]Enyu Cai, Ryan A. Rossi, Chang Xiao:
Improving Learning-based Camera Pose Estimation for Image-based Augmented Reality Applications. CHI Extended Abstracts 2023: 174:1-174:6 - [c91]Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert:
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. CHI 2023: 809:1-809:18 - [c90]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 - [c89]Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park:
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) 2023: 14-18 - [c88]Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
SpotLight: Visual Insight Recommendation. WWW (Companion Volume) 2023: 19-23 - [c87]Md Main Uddin Rony, Fan Du, Ryan A. Rossi, Jane Hoffswell, Niyati Chhaya, Iftikhar Ahamath Burhanuddin, Eunyee Koh:
Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making. WWW (Companion Volume) 2023: 77-81 - [i82]Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR abs/2302.12324 (2023) - [i81]Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert:
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. CoRR abs/2303.01575 (2023) - [i80]Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao:
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR abs/2303.15652 (2023) - [i79]Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova:
Learning the Visualness of Text Using Large Vision-Language Models. CoRR abs/2305.10434 (2023) - 2022
- [j25]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) - [j24]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 28(1): 129-139 (2022) - [j23]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) - [c86]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. Big Data 2022: 812-817 - [c85]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CHI 2022: 600:1-600:15 - [c84]Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi:
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM 2022: 5-14 - [c83]Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang:
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM 2022: 727-736 - [c82]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CIKM 2022: 3694-3704 - [c81]Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CIKM 2022: 4364-4368 - [c80]Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar:
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. EMNLP 2022: 360-374 - [c79]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 - [c78]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM 2022: 1109-1120 - [c77]Weixin Jiang, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Nedim Lipka:
Task-Oriented Near-Lossless Burst Compression. ISM 2022: 257-260 - [c76]Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu:
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD 2022: 1401-1409 - [c75]Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu:
Neural Point Process for Learning Spatiotemporal Event Dynamics. L4DC 2022: 777-789 - [c74]Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. NeurIPS 2022 - [c73]Chang Xiao, Ryan A. Rossi, Eunyee Koh:
iMarker: Instant and True-to-scale AR with Invisible Markers. UIST (Adjunct Volume) 2022: 32:1-32:3 - [c72]Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
On Generalizing Static Node Embedding to Dynamic Settings. WSDM 2022: 410-420 - [c71]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 - [c70]Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh:
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. WWW 2022: 2810-2818 - [i78]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CoRR abs/2203.08314 (2022) - [i77]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) - [i76]Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. CoRR abs/2205.14459 (2022) - [i75]Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CoRR abs/2206.03635 (2022) - [i74]Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR abs/2206.09280 (2022) - [i73]Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan A. Rossi, Fan Du:
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. CoRR abs/2207.07643 (2022) - [i72]Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CoRR abs/2208.09076 (2022) - [i71]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR abs/2210.00032 (2022) - [i70]Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar:
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. CoRR abs/2211.02646 (2022) - [i69]April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Yeuk-Yin Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022) - [i68]Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi:
PersonaSAGE: A Multi-Persona Graph Neural Network. CoRR abs/2212.13709 (2022) - [i67]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed:
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR abs/2212.14077 (2022) - 2021
- [j22]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) - [j21]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) - [j20]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) - [c69]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 - [c68]Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051 - [c67]Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li:
A Framework for Knowledge-Derived Query Suggestions. IEEE BigData 2021: 510-518 - [c66]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
Context Integrated Relational Spatio-Temporal Resource Forecasting. IEEE BigData 2021: 1359-1368 - [c65]Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CIKM 2021: 1386-1395 - [c64]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 - [c63]Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora:
Machine Unlearning via Algorithmic Stability. COLT 2021: 4126-4142 - [c62]Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021 - [c61]Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai:
Fundamental Tradeoffs in Distributionally Adversarial Training. ICML 2021: 7544-7554 - [c60]Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of Ridge Regression in Convolutional Models. ICML 2021: 9265-9275 - [c59]Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg:
Open-Domain Trending Hashtag Recommendation for Videos. ISM 2021: 174-181 - [c58]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD 2021: 106-116 - [c57]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
Learning to Recommend Visualizations from Data. KDD 2021: 1359-1369 - [c56]Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire:
Interactive Audience Expansion On Large Scale Online Visitor Data. KDD 2021: 2621-2631 - [c55]Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan:
EXACTA: Explainable Column Annotation. KDD 2021: 3775-3785 - [c54]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776 - [c53]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automatic Unsupervised Outlier Model Selection. NeurIPS 2021: 4489-4502 - [c52]Hongchang Gao, Gang Wu, Ryan A. Rossi:
Provable Distributed Stochastic Gradient Descent with Delayed Updates. SDM 2021: 441-449 - [c51]Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee:
Generating Accurate Caption Units for Figure Captioning. WWW 2021: 2792-2804 - [i66]Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai:
Fundamental Tradeoffs in Distributionally Adversarial Training. CoRR abs/2101.06309 (2021) - [i65]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) - [i64]Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora:
Machine Unlearning via Algorithmic Stability. CoRR abs/2102.13179 (2021) - [i63]Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of Ridge Regression in Convolutional Models. CoRR abs/2103.04557 (2021) - [i62]Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
Insight-centric Visualization Recommendation. CoRR abs/2103.11297 (2021) - [i61]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021) - [i60]Tung Mai, Anup B. Rao, Ryan A. Rossi, Saeed Seddighin:
Optimal Space and Time for Streaming Pattern Matching. CoRR abs/2107.04660 (2021) - [i59]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. CoRR abs/2107.08141 (2021) - [i58]Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CoRR abs/2108.10248 (2021) - [i57]Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco:
An Interpretable Graph Generative Model with Heterophily. CoRR abs/2111.03030 (2021) - [i56]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) - [i55]Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu:
Neural Point Process for Learning Spatiotemporal Event Dynamics. CoRR abs/2112.06351 (2021) - 2020
- [j19]Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi:
Ensemble Learning for Relational Data. J. Mach. Learn. Res. 21: 49:1-49:37 (2020) - [j18]Ryan A. Rossi, Nesreen K. Ahmed:
Correction to: Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 10(1): 19 (2020) - [j17]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) - [j16]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 32(3): 438-452 (2020) - [c50]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. ICML 2020: 7521-7531 - [c49]Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh:
Higher-order Clustering in Complex Heterogeneous Networks. KDD 2020: 25-35 - [c48]Alireza Farhadi, Mohammad Taghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi:
Approximate Maximum Matching in Random Streams. SODA 2020: 1773-1785 - [c47]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. WACV 2020: 1526-1534 - [c46]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 - [c45]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) 2020: 10-12 - [c44]Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed:
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) 2020: 32-34 - [c43]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 - [c42]Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire:
Real-Time Clustering for Large Sparse Online Visitor Data. WWW 2020: 1049-1059 - [i54]Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Inferring Individual Level Causal Models from Graph-based Relational Time Series. CoRR abs/2001.05993 (2020) - [i53]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. CoRR abs/2007.06202 (2020) - [i52]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR abs/2009.09961 (2020) - [i51]Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
From Static to Dynamic Node Embeddings. CoRR abs/2009.10017 (2020) - [i50]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automating Outlier Detection via Meta-Learning. CoRR abs/2009.10606 (2020) - [i49]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. CoRR abs/2009.12316 (2020) - [i48]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. CoRR abs/2009.12469 (2020) - [i47]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. CoRR abs/2009.12681 (2020) - [i46]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction. CoRR abs/2009.12683 (2020) - [i45]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) - [i44]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting. CoRR abs/2010.07373 (2020) - [i43]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020) - [i42]Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020) - [i41]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
- [j15]Ryan A. Rossi, Nesreen K. Ahmed:
Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 9(1): 51:1-51:13 (2019) - [j14]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) - [j13]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) - [c41]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Graph Convolutional Networks with Motif-based Attention. CIKM 2019: 499-508 - [c40]Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao:
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC 2019: 488-489 - [c39]Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485 - [c38]Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra:
Latent Network Summarization: Bridging Network Embedding and Summarization. KDD 2019: 987-997 - [c37]Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching. ECML/PKDD (1) 2019: 483-506 - [c36]Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha:
On Densification for Minwise Hashing. UAI 2019: 831-840 - [c35]Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM 2019: 663-671 - [i40]Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres:
Secure Two-Party Feature Selection. CoRR abs/1901.00832 (2019) - [i39]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) - [i38]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) - [i37]Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching. CoRR abs/1904.08572 (2019) - [i36]