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Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization

13 February 2021

Papers citing "Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization"

21 / 21 papers shown

Title
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 171 11 0 10 Jan 2025
Mixture of Experts for Node Classification Yu Shi Yiqi Wang WeiXuan Lang Jiaxin Zhang Pan Dong Aiping Li 515 1 0 30 Nov 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 198 0 0 13 Aug 2024
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 97 253 0 12 Feb 2021
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity Chen Lu S. Sen 46 22 0 15 Nov 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu Yujun Yan Lingxiao Zhao Mark Heimann Leman Akoglu Danai Koutra GNN 104 34 0 20 Jun 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 101 314 0 14 Feb 2020
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 84 301 0 06 Jul 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li Eli Chien O. Milenkovic 66 68 0 26 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 62 83 0 14 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 229 4,341 0 06 Mar 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,681 0 01 Oct 2018
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 156 159 0 23 Jul 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 263 3,549 0 06 Jun 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,300 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 596 7,485 0 04 Apr 2017
Community Detection and Stochastic Block Models Emmanuel Abbe 136 1,199 0 29 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 543 1,412 0 01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
Asymptotic Mutual Information for the Two-Groups Stochastic Block Model Y. Deshpande Emmanuel Abbe Andrea Montanari 121 56 0 30 Jul 2015
Covariate-assisted spectral clustering Norbert Binkiewicz Joshua T. Vogelstein Karl Rohe 62 153 0 08 Nov 2014