Graph Pointer Neural Networks

Tianmeng Yang, Yujing Wang, Zhihan Yue +3

Graph Neural Networks (GNNs) have shown advantages in various graph-based applications. Most existing GNNs assume strong homophily of graph structure and apply permutation-invarian…