Self-Supervised Graph Structure Refinement for Graph Neural Networks

Author:

Zhao Jianan1ORCID,Wen Qianlong1ORCID,Ju Mingxuan1ORCID,Zhang Chuxu2ORCID,Ye Yanfang1ORCID

Affiliation:

1. University of Notre Dame, Notre Dame, IN, USA

2. Brandeis University, Waltham, MA, USA

Funder

NIJ

NSF (National Science Foundation)

Publisher

ACM

Reference61 articles.

1. Yu Chen , Lingfei Wu , and Mohammed J Zaki. 202 0. Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings. In NIPS. Yu Chen, Lingfei Wu, and Mohammed J Zaki. 2020. Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings. In NIPS.

2. Hanjun Dai Hui Li Tian Tian Xin Huang Lin Wang Jun Zhu and Le Song. 2018. Adversarial Attack on Graph Structured Data. In ICML. Hanjun Dai Hui Li Tian Tian Xin Huang Lin Wang Jun Zhu and Le Song. 2018. Adversarial Attack on Graph Structured Data. In ICML.

3. Michaë l Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In NIPS. Michaë l Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In NIPS.

4. Data Augmentation for Deep Graph Learning

5. David Duvenaud , Dougal Maclaurin , Jorge Aguilera-Iparraguirre , Rafael Gó mez-Bombarelli , Timothy Hirzel, Alá n Aspuru-Guzik, and Ryan P. Adams. 2015 . Convolutional Networks on Graphs for Learning Molecular Fingerprints. In NIPS. David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gó mez-Bombarelli, Timothy Hirzel, Alá n Aspuru-Guzik, and Ryan P. Adams. 2015. Convolutional Networks on Graphs for Learning Molecular Fingerprints. In NIPS.

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