Rakshit Trivedi
Cited by
Cited by
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
Know-evolve: Deep temporal reasoning for dynamic knowledge graphs
R Trivedi, H Dai, Y Wang, L Song
arXiv preprint arXiv:1705.05742, 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
arXiv preprint arXiv:1703.07823, 2017
Dyrep: Learning representations over dynamic graphs
R Trivedi, M Farajtabar, P Biswal, H Zha
International Conference on Learning Representations, 2019
Deep coevolutionary network: Embedding user and item features for recommendation
H Dai, Y Wang, R Trivedi, L Song
arXiv preprint arXiv:1609.03675, 2016
Coevolutionary latent feature processes for continuous-time user-item interactions
Y Wang, N Du, R Trivedi, L Song
Advances in Neural Information Processing Systems, 4547-4555, 2016
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
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
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
Codd: Constructing dataless databases
RS Trivedi, I Nilavalagan, JR Haritsa
Proceedings of the Fifth International Workshop on Testing Database Systems, 1-6, 2012
Tweeting about journal articles: Engagement, marketing or just gibberish?
N Robinson-Garcia, R Costas, K Isett, J Melkers, D Hicks
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
GraphOpt: Learning Optimization Models of Graph Formation
R Trivedi, J Yang, H Zha
arXiv preprint arXiv:2007.03619, 2020
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