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PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks

PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks

31 October 2022
Yong-Min Shin
Sun-Woo Kim
Won-Yong Shin
ArXivPDFHTML

Papers citing "PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks"

5 / 5 papers shown
Title
MEGAN: Multi-Explanation Graph Attention Network
MEGAN: Multi-Explanation Graph Attention Network
Jonas Teufel
Luca Torresi
Patrick Reiser
Pascal Friederich
16
8
0
23 Nov 2022
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
110
142
0
05 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
591
0
31 Dec 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
248
1,811
0
25 Nov 2016
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