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Graph neural networks (GNNs) learn node representations by passing and aggregating messages between neighboring nodes.
Neural message passing for multi-label classification
Lanchantin, J.; Sekhon, A.; and Qi, Y. 2019 · 1904
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Dropedge: Towards deep graph convolutional networks on node classification
Rong, Y.; Huang, W.; Xu, T.; and Huang, J. 2019 · 1907
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How Robust Are Graph Neural Networks to Structural Noise?
Fox, J.; and Rajamanickam, S. 2019 · 1912
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Learning discrete structures for graph neural networks
Franceschi, L.; Niepert, M.; Pontil, M.; and He, X. 2019 · 1982
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Fast unfolding of communities in large networks
Blondel, V. D.; Guillaume, J.-L.; Lambiotte, R.; and Lefebvre, E. 2008 · 2008
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Collective classification in network data
Sen, P.; Namata, G.; Bilgic, M.; Getoor, L.; Galligher, B.; and Eliassi-Rad, T. 2008 · 2008
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Community detection in graphs
Fortunato, S. 2010 · 2010
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Rolx: structural role extraction & mining in large graphs
Henderson, K.; Gallagher, B.; Eliassi-Rad, T.; Tong, H.; Basu, S.; Akoglu, L.; Koutra, D.; Faloutsos, C.; and Li, L. 2012 · 2012
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Role discovery in networks
Rossi, R. A.; and Ahmed, N. K. 2014 · 2014
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Semi-supervised classification with graph convolutional networks
Kipf, T. N.; and Welling, M. 2016 · 2016
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Revisiting semi-supervised learning with graph embeddings
Yang, Z.; Cohen, W.; and Salakhudinov, R. 2016 · 2016
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Inductive representation learning on large graphs
Hamilton, W. L.; Ying, R.; and Leskovec, J. 2017 · 2017
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Veličković, P.; Cucurull, G.; Casanova, A.; Romero, A.; Lio, P.; and Bengio, Y. 2017 · 2017
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Fastgcn: fast learning with graph convolutional networks via importance sampling
Robust graph convolutional networks against adversarial attacks
Zhu, D.; Zhang, Z.; Cui, P.; and Zhu, W. 2019 · 2019
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Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections
Chen, L.; Li, X.; and Wu, D. 2020 · 2020
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Graph structure learning for robust graph neural networks
Jin, W.; Ma, Y.; Liu, X.; Tang, X.; Wang, S.; and Tang, J. 2020 · 2020
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Graph-revised convolutional network
Yu, D.; Zhang, R.; Jiang, Z.; Wu, Y.; and Yang, Y. 2020 · 2020
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Robust graph representation learning via neural sparsification
Zheng, C.; Zong, B.; Cheng, W.; Song, D.; Ni, J.; Yu, W.; Chen, H.; and Wang, W. 2020 · 2020
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Graph Sparsification via Meta-Learning
Wan, G.; and Kokel, H. 2021 · 2021
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Chen, J.; Ma, T.; and Xiao, C. 2018 · 2018
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How powerful are graph neural networks?
Xu, K.; Hu, W.; Leskovec, J.; and Jegelka, S. 2018 · 2018
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Deep Graph Structure Learning for Robust Representations: A Survey
Zhu, Y.; Xu, W.; Zhang, J.; Liu, Q.; Wu, S.; and Wang, L. 2021 · 2021
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