Rethinking the message passing for graph-level classification tasks in a category-based view

• Main Authors: Lei, Han, Xu, Jiaxing, Ni, Jinjie, Ke, Yiping
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Engineering; Category-based view; Non-message-passing
• Online Access: https://hdl.handle.net/10356/182539
• Institution: Nanyang Technological University

Message-Passing Neural Networks (MPNNs) have emerged as a popular framework for graph representation in recent years. However, the graph readout function in MPNNs often leads to significant information loss, resulting in performance degradation and computational waste for graph-level classification...