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CoulGAT: An Experiment on Interpretability of Graph Attention Networks

CoulGAT: An Experiment on Interpretability of Graph Attention Networks

B. Gokden
    GNN
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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
PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference
Burc Gokden
71
0
0
19 Feb 2025
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
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
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
319
7,646
0
30 Jun 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
336
10,172
0
16 Mar 2016
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
152
1,586
0
16 Jun 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
195
4,870
0
21 Dec 2013

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