2 papers
cs.LG2025
HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
Shilong Sang, Ke-Jia Chen, Zheng liu
Graph similarity learning (GSL), also referred to as graph matching in many scenarios, is a fundamental problem in computer vision, pattern recognition, and graph learning. However…
cs.LG2024
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
Wenjun Wang, Jiacheng Lu, Kejia Chen +2
Graph similarity computation (GSC) aims to quantify the similarity score between two graphs. Although recent GSC methods based on graph neural networks (GNNs) take advantage of int…