Subgraph-Aware Joint Modeling for Graph Classification via Efficient Frequent Pattern Mining and Fusion

This paper proposes a subgraph-aware classification framework that integrates efficient frequent subgraph mining with graph neural networks (GNNs) to address the limitations of existing GNNs in capturing explicit local structures. Specifically,we first introduce an improved mining strategy to extrac...

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主要な著者:	Weiyao Xu, Yumeng Sun, Yumeng MA, Yu Cheng, Jie Liu, Yuan Sheng, Yiwei Zhang, Junliang Du
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	Frequent subgraph mining graph neural network graph classification subgraph perception joint optimization
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11141440/
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