Fetching the paper…
Reading the bibliography…
Graph Convolutional Network (GCN) has shown remarkable potential of exploring graph representation.
Birds of a Feather: Homophily in Social Networks
Miller, M.; and Cook, S. L. M. 2001 · 2001
Earlier work this paper cites.
Collective classification in network data
Sen, P.; Namata, G.; Bilgic, M.; Getoor, L.; Galligher, B.; and Eliassi-Rad, T. 2008 · 2008
Earlier work this paper cites.
Visualizing Data using t-SNE
van der Maaten, L.; and Hinton, G. 2008 · 2008
Earlier work this paper cites.
The Graph Neural Network Model
Scarselli, F.; Gori, M.; Tsoi, A. C.; Hagenbuchner, M.; and Monfardini, G. 2009 · 2009
Earlier work this paper cites.
Query-driven active surveying for collective classification
Namata, G.; London, B.; Getoor, L.; Huang, B.; and EDU, U. 2012 · 2012
Earlier work this paper cites.
Learning classification models with soft-label information
Nguyen, Q.; Valizadegan, H.; and Hauskrecht, M. 2014 · 2014
Earlier work this paper cites.
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Duvenaud, D.; Maclaurin, D.; Aguilera-Iparraguirre, J.; Gómez-Bombarelli, R.; Hirzel, T.; Aspuru-Guzik, A.; and Adams, R. P. 2015 · 2015
Earlier work this paper cites.
Convolutional neural networks on graphs with fast localized spectral filtering
Defferrard, M.; Bresson, X.; and Vandergheynst, P. 2016 · 2016
Earlier work this paper cites.
Variational Graph Auto-Encoders
Kipf, T. N.; and Welling, M. 2016 · 2016
Earlier work this paper cites.
Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking
Bojchevski, A.; and Günnemann, S. 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.
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
Cai, H.; Zheng, V. W.; and Chang, K. C. 2018 · 2018
Cited alongside, same era.
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Chen, J.; Ma, T.; and Xiao, C. 2018 · 2018
Cited alongside, same era.
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning
Li, Q.; Han, Z.; and Wu, X. 2018 · 2018
Cited alongside, same era.
Modeling Relational Data with Graph Convolutional Networks
Schlichtkrull, M. S.; Kipf, T. N.; Bloem, P.; van den Berg, R.; Titov, I.; and Welling, M. 2018 · 2018
Cited alongside, same era.
Link Prediction Based on Graph Neural Networks
Zhang, M.; and Chen, Y. 2018 · 2018
Cited alongside, same era.
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
Generalizing graph neural networks beyond homophily
Zhu, J.; Yan, Y.; Zhao, L.; Heimann, M.; Akoglu, L.; and Koutra, D. 2020 · 2020
Later among the works it cites.
Dual Quaternion Knowledge Graph Embeddings
Cao, Z.; Xu, Q.; Yang, Z.; Cao, X.; and Huang, Q. 2021 · 2021
Closest in time.
Adaptive universal generalized pagerank graph neural network
Chien, E.; Peng, J.; Li, P.; and Milenkovic, O. 2021 · 2021
Closest in time.
Adversarial representation mechanism learning for network embedding
He, D.; Wang, T.; Zhai, L.; Jin, D.; Yang, L.; Huang, Y.; Feng, Z.; and Yu, P. S. 2021 · 2021
Closest in time.
Heterogeneous Graph Neural Network via Attribute Completion
Jin, D.; Huo, C.; Liang, C.; and Yang, L. 2021a · 2021
Closest in time.
A survey of community detection approaches: From statistical modeling to deep learning
Jin, D.; Yu, Z.; Jiao, P.; Pan, S.; Yu, P. S.; and Zhang, W. 2021b · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Abu-El-Haija, S.; Perozzi, B.; Kapoor, A.; Alipourfard, N.; Lerman, K.; Harutyunyan, H.; Ver Steeg, G.; and Galstyan, A. 2019 · 2019
Cited alongside, same era.
A Survey on Network Embedding
Cui, P.; Wang, X.; Pei, J.; and Zhu, W. 2019 · 2019
Cited alongside, same era.
Hierarchical graph convolutional networks for semi-supervised node classification
Hu, F.; Zhu, Y.; Wu, S.; Wang, L.; and Tan, T. 2019 · 2019
Cited alongside, same era.
Simplifying Graph Convolutional Networks
Wu, F.; Souza, A.; Zhang, T.; Fifty, C.; Yu, T.; and Weinberger, K. 2019 · 2019
Cited alongside, same era.
Graph neural networks with heterophily
Zhu, J.; Rossi, R. A.; Rao, A.; Mai, T.; Lipka, N.; Ahmed, N. K.; and Koutra, D. 2019 · 2019
Cited alongside, same era.
Geom-GCN: Geometric Graph Convolutional Networks
Pei, H.; Wei, B.; Chang, K. C.; Lei, Y.; and Yang, B. 2020 · 2020
Cited alongside, same era.
Closest in time.
Learning to pre-train graph neural networks
Lu, Y.; Jiang, X.; Fang, Y.; and Shi, C. 2021 · 2021
Closest in time.
Multi-scale attributed node embedding
Rozemberczki, B.; Allen, C.; and Sarkar, R. 2021 · 2021
Closest in time.
A Comprehensive Survey on Graph Neural Networks
Wu, Z.; Pan, S.; Chen, F.; Long, G.; Zhang, C.; and Yu, P. S. 2021 · 2021
Closest in time.
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yan, Y.; Hashemi, M.; Swersky, K.; Yang, Y.; and Koutra, D. 2021 · 2021
Closest in time.