Graph contrastive learning with cross-encoder for community discovery

Author:

Shan Zhenpei,Zhang DefuORCID,Lei Yunqi

Funder

The National Science Research Project of Department of Education in Guizhou Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference63 articles.

1. Ando R, Zhang T (2006) Learning on graph with laplacian regularization. Adv Neural Inf Process Syst 19:25–32

2. Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7(11):2399–2434

3. Bo D, Wang X, Shi C, Zhu M, Lu E, Cui P (2020) Structural deep clustering network. In: Proceedings of the web conference 2020, pp 1400–1410

4. Brody S, Alon U, Yahav E (2021) How attentive are graph attention networks? In: International conference on learning representations

5. Cai H, Zheng VW, Chang KCC (2018) A comprehensive survey of graph embedding: Problems, techniques, and applications. IEEE Trans Knowl Data Eng 30(9):1616–1637

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