Sami Abu-El-Haija

47 papers A* 11A 4B 2Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads.
CoRR
Zixuan Yi, Sami Abu-El-Haija, Yawen Wang, Teja Vemparala, Yannis Chronis, Yu Gan, Michael Burrows, Carsten Binnig, Bryan Perozzi, Ryan Marcus, Fatma Özcan
2025 J jnl
LLMs and Databases: A Synergistic Approach to Data Utilization.
IEEE Data Eng. Bull.
Fatma Ozcan, Yeounoh Chung, Yannis Chronis, Yu Gan, Yawen Wang, Carsten Binnig, Johannes Wehrstein, Gaurav Tarlok Kakkar, Sami Abu-El-Haija
2024 J jnl
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases.
CoRR
Yannis Chronis, Yawen Wang, Yu Gan, Sami Abu-El-Haija, Chelsea Lin, Carsten Binnig, Fatma Özcan
2024 J jnl
General Geospatial Inference with a Population Dynamics Foundation Model.
CoRR
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
2023 A* conf
Graph Neural Networks in TensorFlow.
KDD
Bryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin
2023 J jnl
Greedy PIG: Adaptive Integrated Gradients.
CoRR
Kyriakos Axiotis, Sami Abu-El-Haija, Lin Chen, Matthew Fahrbach, Gang Fu
2023 A* conf
Learning Large Graph Property Prediction via Graph Segment Training.
NeurIPS
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023 J jnl
Learning Large Graph Property Prediction via Graph Segment Training.
CoRR
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023 A conf
SubMix: Learning to Mix Graph Sampling Heuristics.
UAI
Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni
2023 A* conf
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.
NeurIPS
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
2023 J jnl
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.
CoRR
Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi
2023 J jnl
UGSL: A Unified Framework for Benchmarking Graph Structure Learning.
CoRR
Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Seyed Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi
2022 A* conf
17th International Workshop on Mining and Learning with Graphs (MLG).
KDD
Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi
2022 J jnl
Machine Learning on Graphs: A Model and Comprehensive Taxonomy.
J. Mach. Learn. Res.
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
2022 J jnl
TF-GNN: Graph Neural Networks in TensorFlow.
CoRR
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
2021 J jnl
Fast Graph Learning with Unique Optimal Solutions.
CoRR
Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021 A* conf
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.
ICLR
Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.
CoRR
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Identifying and Analyzing Cryptocurrency Manipulations in Social Media.
IEEE Trans. Comput. Soc. Syst.
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs.
CoRR
Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija, Aram Galstyan
2021 A* conf
Implicit SVD for Graph Representation Learning.
NeurIPS
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Implicit SVD for Graph Representation Learning.
CoRR
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021 A* conf
Zero-shot Synthesis with Group-Supervised Learning.
ICLR
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
2020 B conf
End-to-End Learning of Compressible Features.
ICIP
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020 J jnl
End-to-end Learning of Compressible Features.
CoRR
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020 — conf
Graph Embedding with Personalized Context Distribution.
WWW (Companion Volume)
Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan
2020 B conf
Human Languages in Source Code: Auto-Translation for Localized Instruction.
L@S
Chris Piech, Sami Abu-El-Haija
2020 J jnl
Machine Learning on Graphs: A Model and Comprehensive Taxonomy.
CoRR
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
2020 J jnl
Zero-shot Synthesis with Group-Supervised Learning.
CoRR
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
2019 J jnl
Human Languages in Source Code: Auto-Translation for Localized Instruction.
CoRR
Chris Piech, Sami Abu-El-Haija
2019 J jnl
Identifying and Analyzing Cryptocurrency Manipulations in Social Media.
CoRR
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
2019 J jnl
Meta Adaptation using Importance Weighted Demonstrations.
CoRR
Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti
2019 A* conf
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.
ICML
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
2019 J jnl
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.
CoRR
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan
2019 A conf
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.
UAI
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
2018 A* conf
Collaborative Deep Metric Learning for Video Understanding.
KDD
Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev
2018 J jnl
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.
CoRR
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
2018 A* conf
Watch Your Step: Learning Node Embeddings via Graph Attention.
NeurIPS
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, Alexander A. Alemi
2017 — conf
Large-Scale Content-Only Video Recommendation.
ICCV Workshops
Joonseok Lee, Sami Abu-El-Haija
2017 A conf
Learning Edge Representations via Low-Rank Asymmetric Projections.
CIKM
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou
2017 J jnl
Learning Edge Representations via Low-Rank Asymmetric Projections.
CoRR
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou
2017 J jnl
Proportionate gradient updates with PercentDelta.
CoRR
Sami Abu-El-Haija
2017 J jnl
Watch Your Step: Learning Graph Embeddings Through Attention.
CoRR
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, Alex Alemi
2016 A* conf
Detecting Events and Key Actors in Multi-person Videos.
CVPR
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
2016 J jnl
YouTube-8M: A Large-Scale Video Classification Benchmark.
CoRR
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan
2015 J jnl
Detecting events and key actors in multi-person videos.
CoRR
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
2013 A conf
Toward collaboration sensing: applying network analysis techniques to collaborative eye-tracking data.
LAK
Bertrand Schneider, Sami Abu-El-Haija, Jim Reesman, Roy Pea