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Graph Neural Networks (GNNs) achieve state-of-the-art performance on graph-structured data across numerous domains.
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.
Social Influence Analysis in Large-Scale Networks
Tang, J.; Sun, J.; Wang, C.; and Yang, Z. 2009 · 2009
Earlier work this paper cites.
To Join or Not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles
Zheleva, E.; and Getoor, L. 2009 · 2009
Earlier work this paper cites.
Query-driven Active Surveying for Collective Classification
Namata, G. M.; London, B.; Getoor, L.; and Huang, B. 2012 · 2012
Earlier work this paper cites.
The Network Data Repository with Interactive Graph Analytics and Visualization
Rossi, R. A.; and Ahmed, N. K. 2015 · 2015
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.
Graph Attention Networks
Veličković, P.; Cucurull, G.; Casanova, A.; Romero, A.; Liò, P.; and Bengio, Y. 2018 · 2018
Cited alongside, same era.
Geom-GCN: Geometric Graph Convolutional Networks
Pei, H.; Wei, B.; Chang, K. C.-C.; Lei, Y.; and Yang, B. 2020 · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Universal Graph Convolutional Networks
Jin, D.; Yu, Z.; Huo, C.; Wang, R.; Wang, X.; He, D.; and Han, J. 2021 · 2021
Cited alongside, same era.
Multi-Scale attributed node embedding
Rozemberczki, B.; Allen, C.; and Sarkar, R. 2021 · 2021
Cited alongside, same era.
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
Later among the works it cites.
Graph Neural Networks with Heterophily
Zhu, J.; Rossi, R. A.; Rao, A.; Mai, T.; Lipka, N.; Ahmed, N. K.; and Koutra, D. 2021 · 2021
Later among the works it cites.
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Bodnar, C.; Giovanni, F. D.; Chamberlain, B. P.; Lio, P.; and Bronstein, M. M. 2022 · 2022
Closest in time.
Is Homophily a Necessity for Graph Neural Networks?
Ma, Y.; Liu, X.; Shah, N.; and Tang, J. 2022 · 2022
Closest in time.
Simplifying approach to node classification in Graph Neural Networks
Maurya, S. K.; Liu, X.; and Murata, T. 2022 · 2022
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