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cs.LG2023
TIGER: Temporal Interaction Graph Embedding with Restarts
Yao Zhang, Yun Xiong, Yongxiang Liao +4
Temporal interaction graphs (TIGs), consisting of sequences of timestamped interaction events, are prevalent in fields like e-commerce and social networks. To better learn dynamic…
cs.LG2022★ 1 cited
Reinforcement Learning for Resilient Power Grids
Zhenting Zhao, Po-Yen Chen, Yucheng Jin
Traditional power grid systems have become obsolete under more frequent and extreme natural disasters. Reinforcement learning (RL) has been a promising solution for resilience give…