39 citations · 47 across the 7 of their papers we have counts for
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cs.LG2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network
Yang Li, Bingbing Xu, Qi Cao +2
Improving the scalability of GNNs is critical for large graphs. Existing methods leverage three sampling paradigms including node-wise, layer-wise and subgraph sampling, then desig…
cs.LG2019
Proximal Policy Optimization with Mixed Distributed Training
Zhenyu Zhang, Xiangfeng Luo, Tong Liu +5
Instability and slowness are two main problems in deep reinforcement learning. Even if proximal policy optimization (PPO) is the state of the art, it still suffers from these two p…