| Youtube-8m: A large-scale video classification benchmark S Abu-El-Haija, N Kothari, J Lee, P Natsev, G Toderici, B Varadarajan, ... arXiv preprint arXiv:1609.08675, 2016 | 1414 | 2016 |
| Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing S Abu-El-Haija, B Perozzi, A Kapoor, N Alipourfard, K Lerman, ... international conference on machine learning, 21-29, 2019 | 831 | 2019 |
| Openimages: A public dataset for large-scale multi-label and multi-class image classification I Krasin, T Duerig, N Alldrin, V Ferrari, S Abu-El-Haija, A Kuznetsova, ... Dataset available from https://github. com/openimages 2 (3), 18, 2017 | 803 | 2017 |
| 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 | 315 | 2022 |
| N-gcn: Multi-scale graph convolution for semi-supervised node classification S Abu-El-Haija, A Kapoor, B Perozzi, J Lee uncertainty in artificial intelligence, 841-851, 2020 | 300 | 2020 |
| Watch your step: Learning node embeddings via graph attention S Abu-El-Haija, B Perozzi, R Al-Rfou, AA Alemi Advances in neural information processing systems 31, 2018 | 262 | 2018 |
| Detecting events and key actors in multi-person videos V Ramanathan, J Huang, S Abu-El-Haija, A Gorban, K Murphy, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 259 | 2016 |
| Automatically recommending content Z Xu, S Abu-El-Haija, L Huang, N Hoofien US Patent 8,260,117, 2012 | 113 | 2012 |
| Identifying and analyzing cryptocurrency manipulations in social media M Mirtaheri, S Abu-El-Haija, F Morstatter, G Ver Steeg, A Galstyan IEEE Transactions on Computational Social Systems 8 (3), 607-617, 2021 | 91 | 2021 |
| Learning edge representations via low-rank asymmetric projections S Abu-El-Haija, B Perozzi, R Al-Rfou Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 86 | 2017 |
| Collaborative deep metric learning for video understanding J Lee, S Abu-El-Haija, B Varadarajan, A Natsev Proceedings of the 24th ACM SIGKDD International conference on knowledge …, 2018 | 80 | 2018 |
| Selecting and presenting representative frames for video previews S Shetty, T Izo, MH Tsai, S Vijayanarasimhan, A Natsev, S Abu-El-Haija, ... US Patent 9,953,222, 2018 | 66 | 2018 |
| End-to-end learning of compressible features S Singh, S Abu-El-Haija, N Johnston, J Ballé, A Shrivastava, G Toderici 2020 IEEE International Conference on Image Processing (ICIP), 3349-3353, 2020 | 57 | 2020 |
| Zero-shot synthesis with group-supervised learning Y Ge, S Abu-El-Haija, G Xin, L Itti arXiv preprint arXiv:2009.06586, 2020 | 37 | 2020 |
| Selecting representative video frames for videos J Shlens, GD Toderici, SA Abu-El-Haija US Patent App. 14/749,436, 2016 | 37 | 2016 |
| Apostol (Paul) Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan. Youtube-8m: A large-scale video classification benchmark. In S Abu-El-Haija, N Kothari, J Lee arXiv 1609, 1, 2016 | 31 | 2016 |
| 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 | 21 | 2022 |
| Graph traversal with tensor functionals: A meta-algorithm for scalable learning E Markowitz, K Balasubramanian, M Mirtaheri, S Abu-El-Haija, B Perozzi, ... arXiv preprint arXiv:2102.04350, 2021 | 20 | 2021 |
| Toward collaboration sensing: applying network analysis techniques to collaborative eye-tracking data B Schneider, S Abu-El-Haija, J Reesman, R Pea Proceedings of the Third International Conference on Learning Analytics and …, 2013 | 18 | 2013 |
| A higher-order graph convolutional layer S Abu-El-Haija, N Alipourfard, H Harutyunyan, A Kapoor, B Perozzi Proceedings of the 32nd Conference on Neural Information Processing Systems …, 2018 | 12 | 2018 |
