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Graph representation learning (GRL) on attribute-missing graphs, which is a common yet challenging problem, has recently attracted considerable attention.
Signature Verification Using a Siamese Time Delay Neural Network
Bromley, J.; Guyon, I.; LeCun, Y.; Säckinger, E.; and Shah, R. 1993 · 1993
Earlier work this paper cites.
Automating the Construction of Internet Portals with Machine Learning
McCallum, A.; Nigam, K.; Rennie, J.; and Seymore, K. 2000 · 2000
Earlier work this paper cites.
Visualizing Data using t-SNE
Maaten, L. V. D.; and Hinton, G. 2008 · 2008
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Collective Classification in Network Data
Sen, P.; Namata, G.; Bilgic, M.; Getoor, L.; Gallagher, B.; and Eliassi-Rad, T. 2008 · 2008
Earlier work this paper cites.
Navigating networks by using homophily and degree
Özgür Simsek; and Jensen, D. D. 2008 · 2008
Earlier work this paper cites.
Query-driven active surveying for collective classification
Namata, G.; London, B.; Getoor, L.; and Huang, B. 2012 · 2012
Earlier work this paper cites.
Auto-Encoding Variational Bayes
Kingma, D. P.; and Welling, M. 2014 · 2014
Earlier work this paper cites.
DeepWalk: online learning of social representations
Perozzi, B.; Al-Rfou, R.; and Skiena, S. 2014 · 2014
Earlier work this paper cites.
node2vec: Scalable Feature Learning for Networks
Grover, A.; and Leskovec, J. 2016 · 2016
Earlier work this paper cites.
Variational Graph Auto-Encoders
Kipf, T. N.; and Welling, M. 2016 · 2016
Earlier work this paper cites.
Inductive Representation Learning on Large Graphs
Hamilton, W. L.; Ying, Z.; and Leskovec, J. 2017 · 2017
Earlier work this paper cites.
Deep Graph Clustering in Social Network
Hu, P.; Chan, K. C. C.; and He, T. 2017 · 2017
Earlier work this paper cites.
Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T. N.; and Welling, M. 2017 · 2017
Earlier work this paper cites.
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Monti, F.; Bronstein, M. M.; and Bresson, X. 2017 · 2017
Cited alongside, same era.
Graph convolutional matrix completion
van den Berg, R.; Kipf, T. N.; and Welling, M. 2017 · 2017
Cited alongside, same era.
Pitfalls of Graph Neural Network Evaluation
Shchur, O.; Mumme, M.; Bojchevski, A.; and Günnemann, S. 2018 · 2018
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.
Marginal Representation Learning With Graph Structure Self-Adaptation
Zhang, Z.; Shao, L.; Xu, Y.; Liu, L.; and Yang, J. 2018 · 2018
Cited alongside, same era.
Two-Stream Action Recognition-Oriented Video Super-Resolution
Zhang, H.; Liu, D.; and Xiong, Z. 2019 · 2019
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Structural Deep Clustering Network
Bo, D.; Wang, X.; Shi, C.; Zhu, M.; Lu, E.; and Cui, P. 2020 · 2020
Later among the works it cites.
Contrastive Multi-View Representation Learning on Graphs
Hassani, K.; and Ahmadi, A. H. K. 2020 · 2020
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Learning Graph Embedding with Adversarial Training Methods
Pan, S.; Hu, R.; Fung, S.-F.; Long, G.; Jiang, J.; and Zhang, C. 2020 · 2020
Later among the works it cites.
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
Later among the works it cites.
Missing data imputation with adversarially-trained graph convolutional networks
Spinelli, I.; Scardapane, S.; and Uncini, A. 2020 · 2020
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Zheng, L.; Lu, C.-T.; Jiang, F.; Zhang, J.; and Yu, P. S. 2018 · 2018
Cited alongside, same era.
Attributed Random Walk as Matrix Factorization
Chen, L.; Gong, S.; Bruna, J.; and Bronstein, M. M. 2019 · 2019
Cited alongside, same era.
Neural multi-task recommendation from multi-behavior data
Gao, C.; He, X.; Gan, D.; Chen, X.; Feng, F.; Li, Y.; Chua, T.; and Jin, D. 2019 · 2019
Cited alongside, same era.
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
Hu, L.; Jian, S.; Cao, L.; Gu, Z.; Chen, Q.; and Amirbekyan, A. 2019 · 2019
Cited alongside, same era.
Graph Recurrent Networks With Attributed Random Walks
Huang, X.; Song, Q.; Li, Y.; and Hu, X. 2019 · 2019
Cited alongside, same era.
Adversarial Graph Embedding for Ensemble Clustering
Tao, Z.; Liu, H.; Li, J.; Wang, Z.; and Fu, Y. 2019 · 2019
Cited alongside, same era.
Deep Graph Infomax
Velickovic, P.; Fedus, W.; Hamilton, W. L.; Liò, P.; Bengio, Y.; and Hjelm, R. D. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks
Fu, Z.; Liu, Q.; Fu, Z.; and Wang, Y. 2021 · 2021
Closest in time.
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Jin, M.; Zheng, Y.; Li, Y.-F.; Gong, C.; Zhou, C.; and Pan, S. 2021 · 2021
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Business Entity Matching with Siamese Graph Convolutional Networks
Krivosheev, E.; Atzeni, M.; Mirylenka, K.; Scotton, P.; Miksovic, C.; and Zorin, A. 2021 · 2021
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Graph convolutional networks for graphs containing missing features
Taguchi, H.; Liu, X.; and Murata, T. 2021 · 2021
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Deep Fusion Clustering Network
Tu, W.; Zhou, S.; Liu, X.; Guo, X.; Cai, Z.; Zhu, E.; and Cheng, J. 2021 · 2021
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Graph contrastive learning with adaptive augmentation
Zhu, Y.; Xu, Y.; Yu, F.; Liu, Q.; Wu, S.; and Wang, L. 2021 · 2080
Closest in time.