CoulGAT: An Experiment on Interpretability of Graph Attention Networks

18 December 2019

Papers citing "CoulGAT: An Experiment on Interpretability of Graph Attention Networks"

6 / 6 papers shown

Title
PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference Burc Gokden 79 0 0 19 Feb 2025
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift Xiang Li Shuo Chen Xiaolin Hu Jian Yang 69 309 0 16 Jan 2018
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 331 7,648 0 30 Jun 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 350 10,180 0 16 Mar 2016
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 155 1,586 0 16 Jun 2015
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 207 4,872 0 21 Dec 2013