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Combining Stochastic Explainers and Subgraph Neural Networks can
  Increase Expressivity and Interpretability

Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability

14 April 2023
Indro Spinelli
Michele Guerra
F. Bianchi
Simone Scardapane
ArXivPDFHTML

Papers citing "Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability"

3 / 3 papers shown
Title
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
117
78
0
01 Oct 2021
A Meta-Learning Approach for Training Explainable Graph Neural Networks
A Meta-Learning Approach for Training Explainable Graph Neural Networks
Indro Spinelli
Simone Scardapane
A. Uncini
29
19
0
20 Sep 2021
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
107
87
0
05 Feb 2021
1