| On the equivalence between temporal and static equivariant graph representations J Gao, B Ribeiro International Conference on Machine Learning, 7052-7076, 2022 | 41 | 2022 |
| On the equivalence between temporal and static graph representations for observational predictions J Gao, B Ribeiro arXiv preprint arXiv:2103.07016, 2021 | 8 | 2021 |
| Double permutation equivariance for knowledge graph completion J Gao, Y Zhou, B Ribeiro arXiv preprint arXiv:2302.01313, 2023 | 7 | 2023 |
| Xatu: Richer neural network based prediction for video streaming YS Nam, J Gao, C Bothra, E Ghabashneh, S Rao, B Ribeiro, J Zhan, ... Proceedings of the ACM on Measurement and Analysis of Computing Systems 5 (3 …, 2021 | 7 | 2021 |
| Double equivariance for inductive link prediction for both new nodes and new relation types J Gao, Y Zhou, J Zhou, B Ribeiro arXiv preprint arXiv:2302.01313, 2023 | 6 | 2023 |
| Infinity learning: Learning Markov chains from aggregate steady-state observations J Gao, MA Zahran, A Sheoran, S Fahmy, B Ribeiro Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3922-3929, 2020 | 4 | 2020 |
| Veritas: Answering causal queries from video streaming traces C Bothra, J Gao, S Rao, B Ribeiro Proceedings of the ACM SIGCOMM 2023 Conference, 738-753, 2023 | 3 | 2023 |
| Out-of-Distribution Representation Learning for Network System Forecasting J Gao Purdue University, 2023 | | 2023 |
