Graph neural convection-diffusion with heterophily

• Main Authors: Zhao, Kai, Kang, Qiyu, Song, Yang, She, Rui, Wang, Sijie, Tay, Wee Peng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Machine Learning; Classification
• Online Access: https://hdl.handle.net/10356/171667; https://www.ijcai.org/proceedings/2023/
• Institution: Nanyang Technological University

Graph neural networks (GNNs) have shown promising results across various graph learning tasks, but they often assume homophily, which can result in poor performance on heterophilic graphs. The connected nodes are likely to be from different classes or have dissimilar features on heterophilic grap...