Graph Similarity

M. Scholkemper, D. Kuhn, G. Nabbefeld, S. Musall, B. Kampa M. Schaub, "A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings", IEEE International Conference on Acoustics, Speech and Signal Processing , ICASSP 2024, pages 9751-9755, Seoul, South Korea, 2024.

Y. Bai, H. Ding, S. Bian,T. Chen, Y. Sun, W. Wang, "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation", ACM International Conference on Web Search and Data Mining, WSDM 2019, pages 384–392, January 2019.