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2020 – today
- 2024
[c14]Kartik Sharma, Srijan Kumar, Rakshit Trivedi:
Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation. ICML 2024- 2023
- [c13]Kartik Sharma
, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar:
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. KDD 2023: 2023-2035 - 2022
- [c12]Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. AAMAS 2022: 1436-1445 - [c11]Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes:
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning. ICLR 2022 - 2021
- [i9]Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. CoRR abs/2112.10859 (2021) - 2020
- [b1]Rakshit Trivedi:
Learning Dynamic Processes over graphs. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [c10]Rakshit Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. ICML 2020: 9603-9613 - [c9]Rakshit Trivedi, Hongyuan Zha:
Learning Strategic Network Emergence Games. NeurIPS 2020 - [i8]Rakshit Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. CoRR abs/2007.03619 (2020)
2010 – 2019
- 2019
- [c8]Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha:
DyRep: Learning Representations over Dynamic Graphs. ICLR (Poster) 2019 - 2018
- [c7]Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) 2018: 252-262 - [c6]Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha:
Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR 2018 - [i7]Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha:
Representation Learning over Dynamic Graphs. CoRR abs/1803.04051 (2018) - [i6]Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR abs/1807.08447 (2018) - 2017
- [c5]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. ICML 2017: 1097-1106 - [c4]Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song:
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. ICML 2017: 3462-3471 - [i5]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. CoRR abs/1703.07823 (2017) - [i4]Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song:
Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs. CoRR abs/1705.05742 (2017) - [i3]Nicolás Robinson-García, Rakshit Trivedi, Rodrigo Costas, Kimberley R. Isett, Julia E. Melkers, Diana Hicks:
Tweeting about journal articles: Engagement, marketing or just gibberish? CoRR abs/1707.06675 (2017) - [i2]Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha:
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR abs/1711.03156 (2017) - 2016
- [c3]Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song:
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. KDD 2016: 1555-1564 - [c2]Yichen Wang, Nan Du, Rakshit Trivedi, Le Song:
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions. NIPS 2016: 4547-4555 - [c1]Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song:
Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. DLRS@RecSys 2016: 29-34 - [i1]Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song:
Recurrent Coevolutionary Feature Embedding Processes for Recommendation. CoRR abs/1609.03675 (2016)
Coauthor Index
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last updated on 2024-09-04 01:21 CEST by the dblp team
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