Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation

Author:

Xu Haoyan,Duan Ziheng,Wang Yueyang,Feng Jie,Chen Runjian,Zhang Qianru,Xu Zhongbin

Funder

Chongqing Research Program of Basic Research and Frontier Technology

National Natural Science Foundation of China

Science and Technology Innovation 2025 Major Project of Ningbo

Natural Science Foundation of Chongqing

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Statistical mechanics of complex networks;Albert;Reviews of Modern Physics,2002

2. Simgnn: A neural network approach to fast graph similarity computation, in;Bai,2019

3. Y. Bai, H. Ding, K. Gu, Y. Sun, W. Wang, Learning-based efficient graph similarity computation via multi-scale convolutional set matching, in: AAAI, 2020, pp. 3219–3226.

4. Y. Bai, H. Ding, Y. Sun, W. Wang, Convolutional set matching for graph similarity, 2018. arXiv preprint arXiv:1810.10866.

5. On the exact computation of the graph edit distance;Blumenthal;Pattern Recognition Letters,2018

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