| Recurrent marked temporal point processes: Embedding event history to vector N Du, H Dai, R Trivedi, U Upadhyay, M Gomez-Rodriguez, L Song Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 771 | 2016 |
| Dyrep: Learning representations over dynamic graphs R Trivedi, M Farajtabar, P Biswal, H Zha International Conference on Learning Representations, 2019 | 672* | 2019 |
| Know-evolve: Deep temporal reasoning for dynamic knowledge graphs R Trivedi, H Dai, Y Wang, L Song international conference on machine learning, 3462-3471, 2017 | 583 | 2017 |
| 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 | 212 | 2017 |
| Deep coevolutionary network: Embedding user and item features for recommendation H Dai, Y Wang, R Trivedi, L Song arXiv preprint arXiv:1609.03675, 2016 | 191* | 2016 |
| Deep mean field games for learning optimal behavior policy of large populations J Yang, X Ye, R Trivedi, H Xu, H Zha International Conference on Learning Representations, 2018 | 103* | 2018 |
| Coevolutionary latent feature processes for continuous-time user-item interactions Y Wang, N Du, R Trivedi, L Song Advances in neural information processing systems 29, 2016 | 68 | 2016 |
| Linknbed: Multi-graph representation learning with entity linkage R Trivedi, B Sisman, J Ma, C Faloutsos, H Zha, XL Dong arXiv preprint arXiv:1807.08447, 2018 | 61 | 2018 |
| Discourse connectors for latent subjectivity in sentiment analysis R Trivedi, J Eisenstein Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 40 | 2013 |
| Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning J Yang, E Wang, R Trivedi, T Zhao, H Zha International Conference on Autonomous Agents and Multi-Agent Systems, 2022 | 23 | 2022 |
| Graphopt: Learning optimization models of graph formation R Trivedi, J Yang, H Zha International Conference on Machine Learning, 9603-9613, 2020 | 17 | 2020 |
| Codd: Constructing dataless databases RS Trivedi, I Nilavalagan, JR Haritsa Proceedings of the Fifth International Workshop on Testing Database Systems, 1-6, 2012 | 14 | 2012 |
| Temporal dynamics-aware adversarial attacks on discrete-time dynamic graph models K Sharma, R Trivedi, R Sridhar, S Kumar Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| Imperceptible Adversarial Attacks on Discrete-Time Dynamic Graph Models K Sharma, R Trivedi, R Sridhar, S Kumar Advances in Neural Information Processing Systems, 2022 | 6 | 2022 |
| Tweeting about journal articles: Engagement, marketing or just gibberish? N Robinson-Garcia, R Trivedi, R Costas, K Isett, J Melkers, D Hicks arXiv preprint arXiv:1707.06675, 2017 | 6 | 2017 |
| CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning M Gerstgrasser, R Trivedi, DC Parkes International Conference on Learning Representations, 2021 | 4 | 2021 |
| Learning Strategic Network Emergence Games R Trivedi, H Zha Advances in Neural Information Processing Systems 33, 2020 | 3 | 2020 |
| Societal impact metrics for non-patentable research in dentistry D Hicks, K Isett, J Melkers, L Song, R Trivedi 21st International Conference on Science and Technology Indicators-STI 2016 …, 2016 | 2 | 2016 |
| Know-evolve: Deep reasoning in temporal knowledge graphs R Trivedi, H Dai, Y Wang, L Song CoRR, 0 | 2 | |
| Plug-and-Play Controllable Graph Generation with Diffusion Models K Sharma, S Kumar, R Trivedi ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | 1* | 2023 |
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
