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ORCIDSami Abu-El-Haija
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- affiliation: Google Research, Mountain View, CA, USA
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2020 – today
- 2025
[j3]Fatma Ozcan, Yeounoh Chung, Yannis Chronis, Yu Gan, Yawen Wang, Carsten Binnig, Johannes Wehrstein, Gaurav Tarlok Kakkar, Sami Abu-el-haija:
LLMs and Databases: A Synergistic Approach to Data Utilization. IEEE Data Eng. Bull. 49(1): 32-44 (2025)- 2024
- [i24]Yannis Chronis, Yawen Wang, Yu Gan, Sami Abu-El-Haija, Chelsea Lin, Carsten Binnig, Fatma Özcan:
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases. CoRR abs/2408.16170 (2024) - [i23]Mohit Agarwal, Mimi Sun, Chaitanya Kamath, Arbaaz Muslim, Prithul Sarker, Joydeep Paul, Hector Yee, Marcin Sieniek, Kim Philipp Jablonski, Yael Mayer, David Fork, Sheila de Guia, Jamie McPike, Adam Boulanger, Tomer Shekel, David Schottlander, Yao Xiao, Manjit Chakravarthy Manukonda, Yun Liu, Neslihan Bulut, Sami Abu-el-haija, Arno Eigenwillig, Parth Kothari, Bryan Perozzi, Monica Bharel, Von Nguyen, Luke Barrington, Niv Efron, Yossi Matias, Greg Corrado, Krish Eswaran, Shruthi Prabhakara, Shravya Shetty, Gautam Prasad:
General Geospatial Inference with a Population Dynamics Foundation Model. CoRR abs/2411.07207 (2024) - 2023
- [c19]Bryan Perozzi
, Sami Abu-El-Haija, Anton Tsitsulin:
Graph Neural Networks in TensorFlow. KDD 2023: 5786-5787 - [c18]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS 2023 - [c17]Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi:
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. NeurIPS 2023 - [c16]Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni:
SubMix: Learning to Mix Graph Sampling Heuristics. UAI 2023: 1-10 - [i22]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. CoRR abs/2305.12322 (2023) - [i21]Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Seyed Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi:
UGSL: A Unified Framework for Benchmarking Graph Structure Learning. CoRR abs/2308.10737 (2023) - [i20]Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi:
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. CoRR abs/2308.13490 (2023) - [i19]Kyriakos Axiotis, Sami Abu-El-Haija, Lin Chen, Matthew Fahrbach, Gang Fu:
Greedy PIG: Adaptive Integrated Gradients. CoRR abs/2311.06192 (2023) - 2022
- [j2]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. J. Mach. Learn. Res. 23: 89:1-89:64 (2022) - [c15]Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi:
17th International Workshop on Mining and Learning with Graphs (MLG). KDD 2022: 4868-4869 - [i18]Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi:
TF-GNN: Graph Neural Networks in TensorFlow. CoRR abs/2207.03522 (2022) - 2021
- [j1]Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan:
Identifying and Analyzing Cryptocurrency Manipulations in Social Media. IEEE Trans. Comput. Soc. Syst. 8(3): 607-617 (2021) - [c14]Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti:
Zero-shot Synthesis with Group-Supervised Learning. ICLR 2021 - [c13]Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan:
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. ICLR 2021 - [c12]Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Implicit SVD for Graph Representation Learning. NeurIPS 2021: 8419-8431 - [i17]Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan:
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. CoRR abs/2102.04350 (2021) - [i16]Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Fast Graph Learning with Unique Optimal Solutions. CoRR abs/2102.08530 (2021) - [i15]Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija, Aram Galstyan:
Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs. CoRR abs/2104.10232 (2021) - [i14]Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Implicit SVD for Graph Representation Learning. CoRR abs/2111.06312 (2021) - 2020
- [c11]Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici:
End-to-End Learning of Compressible Features. ICIP 2020: 3349-3353 - [c10]Chris Piech, Sami Abu-El-Haija:
Human Languages in Source Code: Auto-Translation for Localized Instruction. L@S 2020: 167-174 - [c9]Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan:
Graph Embedding with Personalized Context Distribution. WWW (Companion Volume) 2020: 655-661 - [i13]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. CoRR abs/2005.03675 (2020) - [i12]Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici:
End-to-end Learning of Compressible Features. CoRR abs/2007.11797 (2020) - [i11]Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti:
Zero-shot Synthesis with Group-Supervised Learning. CoRR abs/2009.06586 (2020)
2010 – 2019
- 2019
- [c8]Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan:
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. ICML 2019: 21-29 - [c7]Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. UAI 2019: 841-851 - [i10]Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan:
Identifying and Analyzing Cryptocurrency Manipulations in Social Media. CoRR abs/1902.03110 (2019) - [i9]Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan:
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. CoRR abs/1905.00067 (2019) - [i8]Chris Piech, Sami Abu-El-Haija:
Human Languages in Source Code: Auto-Translation for Localized Instruction. CoRR abs/1909.04556 (2019) - [i7]Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti:
Meta Adaptation using Importance Weighted Demonstrations. CoRR abs/1911.10322 (2019) - 2018
- [c6]Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev:
Collaborative Deep Metric Learning for Video Understanding. KDD 2018: 481-490 - [c5]Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, Alexander A. Alemi:
Watch Your Step: Learning Node Embeddings via Graph Attention. NeurIPS 2018: 9198-9208 - [i6]Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. CoRR abs/1802.08888 (2018) - 2017
- [c4]Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou:
Learning Edge Representations via Low-Rank Asymmetric Projections. CIKM 2017: 1787-1796 - [c3]Joonseok Lee, Sami Abu-El-Haija:
Large-Scale Content-Only Video Recommendation. ICCV Workshops 2017: 987-995 - [i5]Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou:
Learning Edge Representations via Low-Rank Asymmetric Projections. CoRR abs/1705.05615 (2017) - [i4]Sami Abu-El-Haija:
Proportionate gradient updates with PercentDelta. CoRR abs/1708.07227 (2017) - [i3]Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, Alex Alemi:
Watch Your Step: Learning Graph Embeddings Through Attention. CoRR abs/1710.09599 (2017) - 2016
- [c2]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting Events and Key Actors in Multi-person Videos. CVPR 2016: 3043-3053 - [i2]Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan:
YouTube-8M: A Large-Scale Video Classification Benchmark. CoRR abs/1609.08675 (2016) - 2015
- [i1]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting events and key actors in multi-person videos. CoRR abs/1511.02917 (2015) - 2013
- [c1]Bertrand Schneider, Sami Abu-El-Haija, Jim Reesman, Roy Pea:
Toward collaboration sensing: applying network analysis techniques to collaborative eye-tracking data. LAK 2013: 107-111
Coauthor Index
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