Explainable Graph Representation Learning via Graph Pattern Analysis
通过图模式分析实现可解释的图表示学习
机构 * School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)（数据科学学院，香港中文大学（深圳）） ； Shenzhen Research Institute of Big Data（深圳大数据研究院）
AI总结 本文提出PXGL-GNN框架，通过图模式分析实现图表示的可解释性，解决了传统方法在节点特征忽略和高维问题上的局限。
Comments Full version with appendix of the paper published in the Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), Main Track
Journal ref Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), Main Track, pages 3426-3434, 2025
