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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Guan Wang

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Aug 2026

Multi-Granularity Graph Contrastive Learning Framework via Granular-Ball on Heterogeneous Graphs.

Graph Contrastive Learning (GCL) is a popular self-supervised learning (SSL) technique. However, mainstream GCL methods usually favor single fine-grained random augmentation schemes, which will destroy the structural integrity of the graph, and they largely ignore the topology of the graph structure, that is, multi-gra...

Shuyin Xia, Guan Wang, Cheng Tan et al. · 0 citations
Jul 2026

Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls

This work proposes SeeExplainer, a parameter-free explainer to interpret graph neural networks, and introduces a granular-ball graph refinement mechanism that decomposes a graph into several disjoint granular-balls with no fixed size, and utilizes them as nodes to construct a structural graph.

Jian-Cu Chen, Shuyin Xia, Guan Wang et al. · 0 citations

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