A class-aware representation refinement framework for graph classification

• Main Authors: Xu, Jiaxing, Ni, Jinjie, Ke, Yiping
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Graph neural network; Representation learning; Graph classification
• Online Access: https://hdl.handle.net/10356/180546
• Institution: Nanyang Technological University

Graph Neural Networks (GNNs) are widely used for graph representation learning. Despite its prevalence, GNN suffers from two drawbacks in the graph classification task, the neglect of graph-level relationships, and the generalization issue. Each graph is treated separately in GNN message passing/gra...