Rakshit Trivedi

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 22

Top Topics

Graph Representation

Journal Articles

Temporal Knowledge

Point Processes

Top Venues

Publications

Kartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. KDD (2023)
Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. AAMAS (2022)
Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning. ICLR (2022)
Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. CoRR (2021)
Rakshit Trivedi, Jiachen Yang, Hongyuan Zha
GraphOpt: Learning Optimization Models of Graph Formation. ICML (2020)
Rakshit Trivedi, Hongyuan Zha
Learning Strategic Network Emergence Games. NeurIPS (2020)
Rakshit Trivedi, Jiachen Yang, Hongyuan Zha
GraphOpt: Learning Optimization Models of Graph Formation. CoRR (2020)
Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
DyRep: Learning Representations over Dynamic Graphs. ICLR (Poster) (2019)
Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR (2018)
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR (2018)
Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) (2018)
Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
Representation Learning over Dynamic Graphs. CoRR (2018)
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR (2017)
Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song
Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs. CoRR (2017)
Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. ICML (2017)
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)
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 (2017)
Nicolás Robinson-García, Rakshit Trivedi, Rodrigo Costas, Kimberley R. Isett, Julia Melkers, Diana Hicks
Tweeting about journal articles: Engagement, marketing or just gibberish? CoRR (2017)
Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song
Recurrent Coevolutionary Feature Embedding Processes for Recommendation. CoRR (2016)
Yichen Wang, Nan Du, Rakshit Trivedi, Le Song
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions. NIPS (2016)
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)
Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song
Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. DLRS@RecSys (2016)