Alleviating Over-Smoothing via Aggregation over Compact Manifolds

27 July 2024

Papers citing "Alleviating Over-Smoothing via Aggregation over Compact Manifolds"

22 / 22 papers shown

Title
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 58 44 0 15 Jun 2022
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 92 605 0 18 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 102 1,481 0 04 Jul 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 70 271 0 23 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 228 735 0 14 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 112 202 0 12 Jun 2020
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 73 136 0 12 Nov 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 101 646 0 28 Oct 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 62 508 0 26 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 78 1,100 0 07 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 101 1,334 0 25 Jul 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 66 291 0 03 Apr 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 831 5,493 0 20 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 210 1,683 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 210 7,623 0 01 Oct 2018
Hyperbolic Attention Networks Çağlar Gülçehre Misha Denil Mateusz Malinowski Ali Razavi Razvan Pascanu ... Peter W. Battaglia V. Bapst David Raposo Adam Santoro Nando de Freitas 145 223 0 24 May 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 50 602 0 23 May 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 178 2,820 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 418 20,061 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 448 15,179 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 573 28,964 0 09 Sep 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 415 43,234 0 11 Feb 2015