Lixiang Xu

ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks

Graph Neural Networks (GNNs) have emerged as powerful tools for graph learning, and one key challenge arising in GNNs is the development of effective pooling operations for learning meaningful graph representations. In this paper, we propose a novel Edge-Node Attention-based Hierarchical Pooling (EN…