Hierarchy-Aware Neural Subgraph Matching With Enhanced Similarity Measure

Subgraph matching is challenging as it necessitates time-consuming combinatorial searches. Recent Graph Neural Network (GNN)-based approaches address this issue by employing GNN encoders to extract graph information and hinge distance measures to ensure containment constraints in the embedding space...

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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 37; číslo 9; s. 5298 - 5310
Hlavní autori:	Liu, Zhouyang, Liu, Ning, Chen, Yixin, He, Jiezhong, Jia, Menghan, Li, Dongsheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2025
Predmet:	Approximation algorithms Data mining Distortion measurement Encoding Fasteners graph neural network Graph neural networks Graph representation learning Loss measurement Position measurement Social networking (online) subgraph retrieval Training
ISSN:	1041-4347, 1558-2191
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