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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Weiyao Xu, Yumeng Sun, Yumeng MA, Yu Cheng, Jie Liu, Yuan Sheng, Yiwei Zhang, Junliang Du
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Frequent subgraph mining graph neural network graph classification subgraph perception joint optimization
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11141440/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!