Structural reinforcement-based graph convolutional networks

Author:

Qin Jisheng1ORCID,Wang Qianqian1,Tao Tao1

Affiliation:

1. School of Computer Science and Technology, Anhui University of Technology, Ma'anshan, People's Republic of China

Funder

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Reference43 articles.

1. Atwood, J. & Towsley, D. (2016). Diffusion-convolutional neural networks. In Advances in neural information processing systems (p. 29). Curran Associates, Inc.

2. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

3. Bruna, J., Zaremba, W., Szlam, A. & LeCun, Y. (2013). Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203.

4. Chen, G. & Zhang, J. (2022). Preventing over-smoothing for hypergraph neural networks. arXiv preprint arXiv:2203.17159.

5. Chen, M., Wei, Z., Huang, Z., Ding, B. & Li, Y. (2020). Simple and deep graph convolutional networks. In International conference on machine learning (pp. 1725–1735). PMLR.

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