Abu-El-Haija, Sami

16 publications

ICMLW 2024 Can LLMs Enhance Performance Prediction for Deep Learning Models? Karthick Panner Selvam, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Bryan Perozzi, Mats Brorsson

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

ICMLW 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

UAI 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

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

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

JMLR 2022 Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy

ICLRW 2021 Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan

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

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

ICLR 2021 Zero-Shot Synthesis with Group-Supervised Learning Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti

ICML 2019 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

UAI 2019 N-GCN: Multi-Scale Graph Convolution for Semi-Supervised Node Classification Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee

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

ICCVW 2017 Large-Scale Content-Only Video Recommendation Joonseok Lee, Sami Abu-El-Haija

CVPR 2016 Detecting Events and Key Actors in Multi-Person Videos Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei