Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing

27 May 2018

Papers citing "Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing"

7 / 7 papers shown

Title
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 76 10 0 27 Dec 2023
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 262 15,066 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 299 28,795 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 175 7,622 0 30 Jun 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 54 2,150 0 17 May 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 114 3,337 0 30 Sep 2015
Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions Giovanni Da San Martino Nicoló Navarin A. Sperduti 19 5 0 22 Sep 2015