Effects of Graph Convolutions in Multi-layer Networks

20 April 2022

Papers citing "Effects of Graph Convolutions in Multi-layer Networks"

17 / 17 papers shown

Title
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 161 11 0 10 Jan 2025
Exact Community Recovery in Correlated Stochastic Block Models Julia Gaudio Miklós Z. Rácz Anirudh Sridhar 48 10 0 29 Mar 2022
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 233 0 11 Jun 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath OODD 100 76 0 13 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 92 252 0 12 Feb 2021
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 101 312 0 24 Sep 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 249 736 0 14 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 291 2,725 0 02 May 2020
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 214 4,334 0 06 Mar 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 210 1,685 0 14 Oct 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 250 3,535 0 06 Jun 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 180 2,820 0 22 Jan 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 466 15,218 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 561 7,431 0 04 Apr 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 520 1,407 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 408 1,819 0 25 Nov 2016
Supervised Random Walks: Predicting and Recommending Links in Social Networks L. Backstrom J. Leskovec 88 1,130 0 17 Nov 2010