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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…
cs.LG2023
Structural Imbalance Aware Graph Augmentation Learning
Zulong Liu, Kejia-Chen, Zheng Liu
Graph machine learning (GML) has made great progress in node classification, link prediction, graph classification and so on. However, graphs in reality are often structurally imba…