Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

18 December 2022

Papers citing "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs"

5 / 55 papers shown

Title
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 588 7,443 0 04 Apr 2017
On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha Wojciech M. Czarnecki UQCV 68 551 0 18 Feb 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 614 29,032 0 09 Sep 2016
Image-based Recommendations on Styles and Substitutes Julian McAuley C. Targett Javen Qinfeng Shi Anton Van Den Hengel 124 2,405 0 15 Jun 2015
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 217 4,874 0 21 Dec 2013