Sami Abu-El-Haija

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 41

Top Topics

Supervised Learning

Graph Representation

Steepest Ascent

Top Venues

Publications

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 (2023)
Bryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin
Graph Neural Networks in TensorFlow. KDD (2023)
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)
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 (2023)
Kyriakos Axiotis, Sami Abu-El-Haija, Lin Chen, Matthew Fahrbach, Gang Fu
Greedy PIG: Adaptive Integrated Gradients. CoRR (2023)
Mangpo 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)
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)
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 (2023)
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)
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 (2022)
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 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 (2022)
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)
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 (2021)
Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Fast Graph Learning with Unique Optimal Solutions. CoRR (2021)
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 (2021)
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Implicit SVD for Graph Representation Learning. NeurIPS (2021)
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) (2021)
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Implicit SVD for Graph Representation Learning. CoRR (2021)
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
Zero-shot Synthesis with Group-Supervised Learning. ICLR (2021)
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)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-end Learning of Compressible Features. CoRR (2020)
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. CoRR (2020)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-End Learning of Compressible Features. ICIP (2020)
Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti
Zero-shot Synthesis with Group-Supervised Learning. CoRR (2020)
Chris Piech, Sami Abu-El-Haija
Human Languages in Source Code: Auto-Translation for Localized Instruction. L@S (2020)
Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti
Meta Adaptation using Importance Weighted Demonstrations. CoRR (2019)
Chris Piech, Sami Abu-El-Haija
Human Languages in Source Code: Auto-Translation for Localized Instruction. CoRR (2019)
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
Identifying and Analyzing Cryptocurrency Manipulations in Social Media. CoRR (2019)
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. UAI (2019)
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)
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 (2019)
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. CoRR (2018)
Joonseok Lee, Sami Abu-El-Haija, Balakrishnan Varadarajan, Apostol Natsev
Collaborative Deep Metric Learning for Video Understanding. KDD (2018)
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, Alexander A. Alemi
Watch Your Step: Learning Node Embeddings via Graph Attention. NeurIPS (2018)
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou
Learning Edge Representations via Low-Rank Asymmetric Projections. CoRR (2017)
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, Alex Alemi
Watch Your Step: Learning Graph Embeddings Through Attention. CoRR (2017)
Sami Abu-El-Haija
Proportionate gradient updates with PercentDelta. CoRR (2017)
Joonseok Lee, Sami Abu-El-Haija
Large-Scale Content-Only Video Recommendation. ICCV Workshops (2017)
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou
Learning Edge Representations via Low-Rank Asymmetric Projections. CIKM (2017)
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)
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 (2016)
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 (2015)
Bertrand Schneider, Sami Abu-El-Haija, Jim Reesman, Roy Pea
Toward collaboration sensing: applying network analysis techniques to collaborative eye-tracking data. LAK (2013)