Similarity Metrics and Visualization of Scholars Based on Variational Graph Normalized Auto-Encoders

Author:

Zhang Guangtao,Zeng Xiangwei,Weng Yu,Wu Zhengyang

Publisher

Springer Nature Singapore

Reference26 articles.

1. Khoshraftar, S., An, A.: A survey on graph representation learning methods. arXiv preprint arXiv:2204.01855 (2022)

2. Wu, L., Cui, P., Pei, J., et al.: Graph neural networks: foundation, frontiers and applications. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 4840–4841 (2022)

3. Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)

4. Veličković, P., Cucurull, G., Casanova, A., et al.: Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)

5. Kipf, T.N., Welling, M.: Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 (2016)

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