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Graph-based Semi-Supervised Learning (SSL) aims to transfer the labels of a handful of labeled data to the remaining massive unlabeled data via a graph.
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Spectral clustering based on the graph p-Laplacian
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S4VM: Safe semi-supervised support vector machine
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Rectified linear units improve restricted boltzmann machines
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Twitter polarity classification with label propagation over lexical links and the follower graph
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Spectral networks and locally connected networks on graphs
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Graph attention networks
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Spatial temporal graph convolutional networks for skeleton-based action recognition
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Deformed graph Laplacian for semisupervised learning
Gong, C.; Liu, T.; Tao, D.; Fu, K.; Tu, E.; and Yang, J. 2015 · 2015
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Convolutional neural networks on graphs with fast localized spectral filtering
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Label propagation via teaching-to-learn and learning-to-teach
Gong, C.; Tao, D.; Liu, W.; Liu, L.; and Yang, J. 2016 · 2016
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Variational graph auto-encoders
Kipf, T. N.; and Welling, M. 2016 · 2016
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Temporal ensembling for semi-supervised learning
Laine, S.; and Aila, T. 2016 · 2016
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Revisiting semi-supervised learning with graph embeddings
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Hierarchical graph convolutional networks for semi-supervised node classification
Hu, F.; Zhu, Y.; Wu, S.; Wang, L.; and Tan, T. 2019 · 2019
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A flexible generative framework for graph-based semi-supervised learning
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On mutual information maximization for representation learning
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Deep graph infomax
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Simplifying graph convolutional networks
Wu, F.; Souza Jr, A. H.; Zhang, T.; Fifty, C.; Yu, T.; and Weinberger, K. Q. 2019 · 2019
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Graph inference learning for semi-supervised classification
Xu, C.; Cui, Z.; Hong, X.; Zhang, T.; Yang, J.; and Liu, W. 2019 · 2019
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Bayesian graph convolutional neural networks for semi-supervised classification
Zhang, Y.; Pal, S.; Coates, M.; and Ustebay, D. 2019 · 2019
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Graph-based semi-supervised learning with non-ignorable non-response
Zhou, F.; Li, T.; Zhou, H.; Zhu, H.; and Jieping, Y. 2019 · 2019
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Poisson Learning: Graph based semi-supervised learning at very low label rates
Calder, J.; Cook, B.; Thorpe, M.; and Slepcev, D. 2020 · 2020
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Contrastive multi-view representation learning on graphs
Hassani, K.; and Khasahmadi, A. H. 2020 · 2020
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Momentum contrast for unsupervised visual representation learning
He, K.; Fan, H.; Wu, Y.; Xie, S.; and Girshick, R. 2020 · 2020
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Graph representation learning via graphical mutual information maximization
Peng, Z.; Huang, W.; Luo, M.; Zheng, Q.; Rong, Y.; Xu, T.; and Huang, J. 2020 · 2020
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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 graph contrastive representation learning
Zhu, Y.; Xu, Y.; Yu, F.; Liu, Q.; Wu, S.; and Wang, L. 2020 · 2020
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