DiRW: Path-Aware Digraph Learning for Heterophily

D Su, X Li, Z Li, Y Liao, RH Li, G Wang - arXiv preprint arXiv:2410.10320, 2024 - arxiv.org
Recently, graph neural network (GNN) has emerged as a powerful representation learning
tool for graph-structured data. However, most approaches are tailored for undirected graphs …

OpenGU: A Comprehensive Benchmark for Graph Unlearning

B Fan, Y Ai, X Li, Z Guo, RH Li, G Wang - arXiv preprint arXiv:2501.02728, 2025 - arxiv.org
Graph Machine Learning is essential for understanding and analyzing relational data.
However, privacy-sensitive applications demand the ability to efficiently remove sensitive …