Contrastive learning of graphs under label noise

Author:

Li XianxianORCID,Li Qiyu,Li DeORCID,Qian HaodongORCID,Wang JinyanORCID

Publisher

Elsevier BV

Reference48 articles.

1. Bruna, J., Zaremba, W., Szlam, A., & LeCun, Y. (2014). Spectral Networks and Locally Connected Networks on Graphs. In 2nd international conference on learning representations.

2. A simple framework for contrastive learning of visual representations;Chen,2020

3. NRGNN: Learning a label noise resistant graph neural network on sparsely and noisily labeled graphs;Dai,2021

4. Adversarial attack on graph structured data;Dai,2018

5. Defferrard, M., Bresson, X., & Vandergheynst, P. (2016). Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In Advances in neural information processing systems 29: annual conference on neural information processing systems 2016 (pp. 3837–3845).

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