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

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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