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Graph neural networks (GNNs) have been proven to be effective in various network-related tasks.
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
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Multi-scale Attributed Node Embedding
Rozemberczki, B.; Allen, C.; and Sarkar, R. 2019 · 1909
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Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Xu, B.; Shen, H.; Cao, Q.; Cen, K.; and Cheng, X. 2019a · 1934
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Spectral graph theory
Chung, F. R.; and Graham, F. C. 1997 · 1997
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Mixing patterns in networks
Newman, M. E. 2003 · 2003
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Non-Local Graph Neural Networks
Liu, M.; Wang, Z.; and Ji, S. 2020 · 2005
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Social influence analysis in large-scale networks
Tang, J.; Sun, J.; Wang, C.; and Yang, Z. 2009 · 2009
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A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Wang, X.; Bo, D.; Shi, C.; Fan, S.; Ye, Y.; and Yu, P. S. 2020a · 2011
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The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
Shuman, D. I.; Narang, S. K.; Frossard, P.; Ortega, A.; and Vandergheynst, P. 2013 · 2013
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Spectral Networks and Locally Connected Networks on Graphs
Bruna, J.; Zaremba, W.; Szlam, A.; and LeCun, Y. 2014 · 2014
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Adam: A Method for Stochastic Optimization
Kingma, D. P.; and Ba, J. 2015 · 2015
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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Defferrard, M.; Bresson, X.; and Vandergheynst, P. 2016 · 2016
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Inductive Representation Learning on Large Graphs
Hamilton, W. L.; Ying, Z.; and Leskovec, J. 2017 · 2017
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Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T. N.; and Welling, M. 2017 · 2017
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Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
Monti, F.; Boscaini, D.; Masci, J.; Rodolà, E.; Svoboda, J.; and Bronstein, M. M. 2017 · 2017
Label Efficient Semi-Supervised Learning via Graph Filtering
Li, Q.; Wu, X.; Liu, H.; Zhang, X.; and Guan, Z. 2019 · 2019
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Simplifying Graph Convolutional Networks
Wu, F.; Jr., A. H. S.; Zhang, T.; Fifty, C.; Yu, T.; and Weinberger, K. Q. 2019 · 2019
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Adaptive Graph Encoder for Attributed Graph Embedding
Cui, G.; Zhou, J.; Yang, C.; and Liu, Z. 2020 · 2020
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A Fair Comparison of Graph Neural Networks for Graph Classification
Errica, F.; Podda, M.; Bacciu, D.; and Micheli, A. 2020 · 2020
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Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Oono, K.; and Suzuki, T. 2020 · 2020
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Geom-GCN: Geometric Graph Convolutional Networks
Pei, H.; Wei, B.; Chang, K. C.; Lei, Y.; and Yang, B. 2020 · 2020
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Cited alongside, same era.
Graph Attention Networks
Velickovic, P.; Cucurull, G.; Casanova, A.; Romero, A.; Liò, P.; and Bengio, Y. 2018 · 2018
Cited alongside, same era.
Link Prediction Based on Graph Neural Networks
Zhang, M.; and Chen, Y. 2018 · 2018
Cited alongside, same era.
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Klicpera, J.; Bojchevski, A.; and Günnemann, S. 2019 · 2019
Cited alongside, same era.
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Wang, X.; Zhu, M.; Bo, D.; Cui, P.; Shi, C.; and Pei, J. 2020b
Cited in the paper.
Graph Wavelet Neural Network
Xu, B.; Shen, H.; Cao, Q.; Qiu, Y.; and Cheng, X. 2019b
Cited in the paper.
How Powerful are Graph Neural Networks?
Xu, K.; Hu, W.; Leskovec, J.; and Jegelka, S. 2019c
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A comprehensive survey on graph neural networks
Wu, Z.; Pan, S.; Chen, F.; Long, G.; Zhang, C.; and Philip, S. Y. 2020 · 2020
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Deep learning on graphs: A survey
Zhang, Z.; Cui, P.; and Zhu, W. 2020 · 2020
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Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Zhu, J.; Yan, Y.; Zhao, L.; Heimann, M.; Akoglu, L.; and Koutra, D. 2020 · 2020
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