| Selecting and presenting representative frames for video previews S Shetty, T Izo, MH Tsai, S Vijayanarasimhan, A Natsev, S Abu-El-Haija, ... US Patent 12,014,542, 2024 | | 2024 |
| Tpugraphs: A performance prediction dataset on large tensor computational graphs M Phothilimthana, S Abu-El-Haija, K Cao, B Fatemi, M Burrows, C Mendis, ... Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Learning large graph property prediction via graph segment training K Cao, M Phothilimthana, S Abu-El-Haija, D Zelle, Y Zhou, C Mendis, ... Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Large graph property prediction via graph segment training K Cao, PM Phothilimthana, S Abu-El-Haija, D Zelle, Y Zhou, C Mendis, ... Proceedings of the 37th International Conference on Neural Information …, 2023 | | 2023 |
| Ugsl: A unified framework for benchmarking graph structure learning B Fatemi, S Abu-El-Haija, A Tsitsulin, M Kazemi, D Zelle, N Bulut, ... arXiv preprint arXiv:2308.10737, 2023 | 5 | 2023 |
| Graph Neural Networks in TensorFlow B Perozzi, S Abu-El-Haija, A Tsitsulin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs P Mangpo Phothilimthana, S Abu-El-Haija, K Cao, B Fatemi, C Mendis, ... arXiv e-prints, arXiv: 2308.13490, 2023 | | 2023 |
| Learning compressible features A Shrivastava, S Singh, J Ballé, SA Abu-El-Haija, NM Johnston, ... US Patent App. 18/175,125, 2023 | | 2023 |
| Submix: Learning to mix graph sampling heuristics S Abu-El-Haija, JV Dillon, B Fatemi, K Axiotis, N Bulut, J Gasteiger, ... Uncertainty in Artificial Intelligence, 1-10, 2023 | 5 | 2023 |
| Learning compressible features A Shrivastava, S Singh, J Balle, SA Abu-El-Haija, N Johnston, ... US Patent 11,610,124, 2023 | 6 | 2023 |
| TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs P Mangpo, S Abu-El-Haija, K Cao, B Fatemi, C Mendis, B Perozzi | | 2023 |
| Método e mídia de armazenamento para conteúdo de recomendação automática Z Xu, S Abu-El-Haija, L Huang, N Hoofien | | 2022 |
| Automatically recommending content Z Xu, S Abu-El-Haija, L Huang, N Hoofien | | 2022 |
| Representing graph edges using neural networks R Al-Rfou, SA Abu-El-Haija, BT Perozzi US Patent 11,455,512, 2022 | 3 | 2022 |
| 17th International Workshop on Mining and Learning with Graphs (MLG) S Fakhraei, T Weninger, N Shah, S Abu-El-Haija, S Verma, T Safavi Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | | 2022 |
| Tf-gnn: Graph neural networks in tensorflow O Ferludin, A Eigenwillig, M Blais, D Zelle, J Pfeifer, A Sanchez-Gonzalez, ... arXiv preprint arXiv:2207.03522, 2022 | 31 | 2022 |
| Machine learning on graphs: A model and comprehensive taxonomy I Chami, S Abu-El-Haija, B Perozzi, C Ré, K Murphy Journal of Machine Learning Research 23 (89), 1-64, 2022 | 341 | 2022 |
| Implicit SVD for graph representation learning S Abu-El-Haija, H Mostafa, M Nassar, V Crespi, G Ver Steeg, A Galstyan Advances in Neural Information Processing Systems 34, 8419-8431, 2021 | 8 | 2021 |
| DEEPERBIGGERBETTER FOR OGB-LSC AT KDD CUP 2021 G Li, J Zarzar, H Mostafa, S Shah, M Nassar, D Cummings, ... | | 2021 |
| Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs V Crespi, W Hardaker, S Abu-El-Haija, A Galstyan arXiv preprint arXiv:2104.10232, 2021 | 3 | 2021 |
