A class-aware representation refinement framework for graph classification

• المؤلفون الرئيسيون: Xu, Jiaxing, Ni, Jinjie, Ke, Yiping
• مؤلفون آخرون: College of Computing and Data Science
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Graph neural network; Representation learning; Graph classification
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/180546

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...