A Note on Over-Smoothing for Graph Neural Networks

23 June 2020

Papers citing "A Note on Over-Smoothing for Graph Neural Networks"

8 / 58 papers shown

Title
Convergence of Invariant Graph Networks Chen Cai Yusu Wang 66 4 0 25 Jan 2022
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 33 6 0 07 Dec 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 32 74 0 28 Oct 2021
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs Jie M. Zhang Bo Hui P. Harn Minmin Sun Wei-Shinn Ku 24 8 0 14 Oct 2021
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 75 73 0 25 Sep 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 23 31 0 02 Aug 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 38 114 0 06 Jul 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 41 60 0 15 Jun 2021