Modeling Edge Features with Deep Bayesian Graph Networks

17 August 2023

Papers citing "Modeling Edge Features with Deep Bayesian Graph Networks"

21 / 21 papers shown

Title
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 82 280 0 29 Dec 2019
Fast and Deep Graph Neural Networks Claudio Gallicchio Alessio Micheli GNN 46 102 0 20 Nov 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 116 416 0 28 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 323 8,441 0 03 Jan 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 147 1,324 0 11 Dec 2018
On Filter Size in Graph Convolutional Networks D. V. Tran Nicoló Navarin A. Sperduti GNN 73 50 0 23 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 173 7,554 0 01 Oct 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 425 3,101 0 04 Jun 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing D. Bacciu Federico Errica Alessio Micheli BDL GNN 47 73 0 27 May 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 161 2,796 0 22 Jan 2018
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 123 1,970 0 17 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 403 15,066 0 07 Jun 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 153 1,227 0 10 Apr 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 532 3,264 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 450 28,901 0 09 Sep 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 92 2,150 0 17 May 2016
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 154 1,248 0 06 Nov 2015
Ordered Decompositional DAG Kernels Enhancements Giovanni Da San Martino Nicoló Navarin A. Sperduti 35 22 0 13 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 868 149,474 0 22 Dec 2014
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning M. Rupp A. Tkatchenko K. Müller O. A. von Lilienfeld AI4CE 120 1,581 0 12 Sep 2011
Graph Kernels S.V.N. Vishwanathan Karsten Borgwardt I. Kondor N. Schraudolph 128 1,202 0 01 Jul 2008