119 citations · 126 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 4 cited
Capsule Graph Neural Networks with EM Routing
Yu Lei, Jing Zhang
To effectively classify graph instances, graph neural networks need to have the capability to capture the part-whole relationship existing in a graph. A capsule is a group of neuro…
cs.LG2020★ 119 cited
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang +2
Message-passing neural networks (MPNNs) have been successfully applied to representation learning on graphs in a variety of real-world applications. However, two fundamental weakne…
cs.LG2019★ 3 cited
When Collaborative Filtering Meets Reinforcement Learning
Yu Lei, Wenjie Li
In this paper, we study a multi-step interactive recommendation problem, where the item recommended at current step may affect the quality of future recommendations. To address the…