Toward collaboration sensing: applying network analysis techniques to collaborative eye-tracking data. - Bertrand Schneider; Sami Abu-El-Haija; Jim Reesman; Roy Pea (LAK, 2013)

Detecting Events and Key Actors in Multi-person Videos. - Vignesh Ramanathan; Jonathan Huang; Sami Abu-El-Haija; Alexander N. Gorban; Kevin Murphy 002; Li Fei-Fei 001 (CVPR, 2016)

YouTube-8M: A Large-Scale Video Classification Benchmark. - Sami Abu-El-Haija; Nisarg Kothari; Joonseok Lee; Paul Natsev; George Toderici; Balakrishnan Varadarajan; Sudheendra Vijayanarasimhan (CoRR, 2016)

Learning Edge Representations via Low-Rank Asymmetric Projections. - Sami Abu-El-Haija; Bryan Perozzi; Rami Al-Rfou (CIKM, 2017)

Large-Scale Content-Only Video Recommendation. - Joonseok Lee; Sami Abu-El-Haija (ICCV Workshops, 2017)

Proportionate gradient updates with PercentDelta. - Sami Abu-El-Haija (CoRR, 2017)

Watch Your Step: Learning Graph Embeddings Through Attention. - Sami Abu-El-Haija; Bryan Perozzi; Rami Al-Rfou; Alex Alemi (CoRR, 2017)

Collaborative Deep Metric Learning for Video Understanding. - Joonseok Lee; Sami Abu-El-Haija; Balakrishnan Varadarajan; Apostol Natsev (KDD, 2018)

Watch Your Step: Learning Node Embeddings via Graph Attention. - Sami Abu-El-Haija; Bryan Perozzi; Rami Al-Rfou; Alexander A. Alemi (NeurIPS, 2018)

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. - Sami Abu-El-Haija; Bryan Perozzi; Amol Kapoor; Nazanin Alipourfard; Kristina Lerman; Hrayr Harutyunyan; Greg Ver Steeg; Aram Galstyan (ICML, 2019)

N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. - Sami Abu-El-Haija; Amol Kapoor; Bryan Perozzi; Joonseok Lee (UAI, 2019)

Meta Adaptation using Importance Weighted Demonstrations. - Kiran Lekkala; Sami Abu-El-Haija; Laurent Itti (CoRR, 2019)

End-to-End Learning of Compressible Features. - Saurabh Singh; Sami Abu-El-Haija; Nick Johnston; Johannes Ballé; Abhinav Shrivastava; George Toderici (ICIP, 2020)

Human Languages in Source Code: Auto-Translation for Localized Instruction. - Chris Piech; Sami Abu-El-Haija (L@S, 2020)

Graph Embedding with Personalized Context Distribution. - Di Huang; Zihao He; Yuzhong Huang; Kexuan Sun 002; Sami Abu-El-Haija; Bryan Perozzi; Kristina Lerman; Fred Morstatter; Aram Galstyan (WWW (Companion Volume), 2020)

Zero-shot Synthesis with Group-Supervised Learning. - Yunhao Ge; Sami Abu-El-Haija; Gan Xin; Laurent Itti (ICLR, 2021)

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. - Elan Sopher Markowitz; Keshav Balasubramanian; Mehrnoosh Mirtaheri; Sami Abu-El-Haija; Bryan Perozzi; Greg Ver Steeg; Aram Galstyan (ICLR, 2021)

Implicit SVD for Graph Representation Learning. - Sami Abu-El-Haija; Hesham Mostafa; Marcel Nassar; Valentino Crespi; Greg Ver Steeg; Aram Galstyan (NeurIPS, 2021)

Fast Graph Learning with Unique Optimal Solutions. - Sami Abu-El-Haija; Valentino Crespi; Greg Ver Steeg; Aram Galstyan (CoRR, 2021)

Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs. - Valentino Crespi; Wes Hardaker; Sami Abu-El-Haija; Aram Galstyan (CoRR, 2021)

Identifying and Analyzing Cryptocurrency Manipulations in Social Media. - Mehrnoosh Mirtaheri; Sami Abu-El-Haija; Fred Morstatter; Greg Ver Steeg; Aram Galstyan (IEEE Trans. Comput. Soc. Syst., 2021)

17th International Workshop on Mining and Learning with Graphs (MLG). - Shobeir Fakhraei; Tim Weninger; Neil Shah; Sami Abu-El-Haija; Saurabh Verma; Tara Safavi (KDD, 2022)

TF-GNN: Graph Neural Networks in TensorFlow. - 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; et al. (CoRR, 2022)

Machine Learning on Graphs: A Model and Comprehensive Taxonomy. - Ines Chami; Sami Abu-El-Haija; Bryan Perozzi; Christopher Ré; Kevin Murphy 002 (J. Mach. Learn. Res., 2022)

Graph Neural Networks in TensorFlow. - Bryan Perozzi; Sami Abu-El-Haija; Anton Tsitsulin (KDD, 2023)

Learning Large Graph Property Prediction via Graph Segment Training. - Kaidi Cao; Phitchaya Mangpo Phothilimthana; Sami Abu-El-Haija; Dustin Zelle; Yanqi Zhou; Charith Mendis; Jure Leskovec; Bryan Perozzi (NeurIPS, 2023)

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. - Phitchaya Mangpo Phothilimthana; Sami Abu-El-Haija; Kaidi Cao; Bahare Fatemi; Michael Burrows; Charith Mendis; Bryan Perozzi (NeurIPS, 2023)

SubMix: Learning to Mix Graph Sampling Heuristics. - Sami Abu-El-Haija; Joshua V. Dillon; Bahare Fatemi; Kyriakos Axiotis; Neslihan Bulut; Johannes Gasteiger; Bryan Perozzi; MohammadHossein Bateni (UAI, 2023)

UGSL: A Unified Framework for Benchmarking Graph Structure Learning. - Bahare Fatemi; Sami Abu-El-Haija; Anton Tsitsulin; Seyed Mehran Kazemi; Dustin Zelle; Neslihan Bulut; Jonathan Halcrow; Bryan Perozzi (CoRR, 2023)

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. - Phitchaya Mangpo Phothilimthana; Sami Abu-El-Haija; Kaidi Cao; Bahare Fatemi; Charith Mendis; Bryan Perozzi (CoRR, 2023)

Greedy PIG: Adaptive Integrated Gradients. - Kyriakos Axiotis; Sami Abu-El-Haija; Lin Chen; Matthew Fahrbach; Gang Fu (CoRR, 2023)

CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases. - Yannis Chronis; Yawen Wang; Yu Gan; Sami Abu-El-Haija; Chelsea Lin; Carsten Binnig; Fatma Özcan (CoRR, 2024)

General Geospatial Inference with a Population Dynamics Foundation Model. - 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; et al. (CoRR, 2024)

LLMs and Databases: A Synergistic Approach to Data Utilization. - Fatma Ozcan; Yeounoh Chung; Yannis Chronis; Yu Gan; Yawen Wang; Carsten Binnig; Johannes Wehrstein; Gaurav Tarlok Kakkar; Sami Abu-el-haija (IEEE Data Eng. Bull., 2025)