| Learning combinatorial optimization algorithms over graphs E Khalil, H Dai, Y Zhang, B Dilkina, L Song Advances in neural information processing systems 30, 2017 | 2276 | 2017 |
| Combinatorial optimization and reasoning with graph neural networks Q Cappart, D Chételat, EB Khalil, A Lodi, C Morris, P Veličković Journal of Machine Learning Research 24 (130), 1-61, 2023 | 625 | 2023 |
| Learning to Branch in Mixed Integer Programming EB Khalil, P Le Bodic, L Song, G Nemhauser, B Dilkina AAAI, 2016 | 581 | 2016 |
| Learning feature engineering for classification. F Nargesian, H Samulowitz, U Khurana, EB Khalil, DS Turaga Ijcai 17, 2529-2535, 2017 | 484 | 2017 |
| The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation W Zhang, S Guhathakurta, EB Khalil Transportation Research Part C: Emerging Technologies 90, 156-165, 2018 | 268 | 2018 |
| Fake news mitigation via point process based intervention M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha International conference on machine learning, 1097-1106, 2017 | 231 | 2017 |
| Hybrid models for learning to branch P Gupta, M Gasse, E Khalil, P Mudigonda, A Lodi, Y Bengio Advances in neural information processing systems 33, 18087-18097, 2020 | 219 | 2020 |
| Learning to Run Heuristics in Tree Search. EB Khalil, B Dilkina, GL Nemhauser, S Ahmed, Y Shao Ijcai 2017, 659-666, 2017 | 210 | 2017 |
| Scalable diffusion-aware optimization of network topology EB Khalil, B Dilkina, L Song Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 177 | 2014 |
| Systems and methods for using event-correlation graphs to detect attacks on computing systems K Roundy, F Guo, S Bhatkar, T Cheng, J Fu, ZK Li, D Shou, S Sawhney, ... US Patent 9,141,790, 2015 | 107 | 2015 |
| Llms and the abstraction and reasoning corpus: Successes, failures, and the importance of object-based representations Y Xu, W Li, P Vaezipoor, S Sanner, EB Khalil arXiv preprint arXiv:2305.18354, 2023 | 106 | 2023 |
| Learning to schedule heuristics in branch and bound A Chmiela, E Khalil, A Gleixner, A Lodi, S Pokutta Advances in Neural Information Processing Systems 34, 24235-24246, 2021 | 103 | 2021 |
| MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers EB Khalil, C Morris, A Lodi The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022 | 100 | 2022 |
| The machine learning for combinatorial optimization competition (ml4co): Results and insights M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ... NeurIPS 2021 competitions and demonstrations track, 220-231, 2022 | 79 | 2022 |
| Classification of driver cognitive load: Exploring the benefits of fusing eye-tracking and physiological measures D He, Z Wang, EB Khalil, B Donmez, G Qiao, S Kumar Transportation research record 2676 (10), 670-681, 2022 | 70 | 2022 |
| Neur2SP: Neural two-stage stochastic programming RM Patel, J Dumouchelle, E Khalil, M Bodur Advances in neural information processing systems 35, 23992-24005, 2022 | 65 | 2022 |
| Combinatorial attacks on binarized neural networks EB Khalil, A Gupta, B Dilkina International Conference on Learning Representations, 2019 | 65 | 2019 |
| Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty A Abbas, J Mosseri, JR Lex, J Toor, B Ravi, EB Khalil, C Whyne International journal of medical informatics 158, 104670, 2022 | 63 | 2022 |
| Generating graph snapshots from streaming edge data S Soundarajan, A Tamersoy, EB Khalil, T Eliassi-Rad, DH Chau, ... Proceedings of the 25th international conference companion on world Wide Web …, 2016 | 61 | 2016 |
| A deep reinforcement learning framework for column generation C Chi, A Aboussalah, E Khalil, J Wang, Z Sherkat-Masoumi Advances in Neural Information Processing Systems 35, 9633-9644, 2022 | 58 | 2022 |
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCVerified email at usc.edu
