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Evaluating Link Prediction Explanations for Graph Neural Networks

Evaluating Link Prediction Explanations for Graph Neural Networks

3 August 2023
Claudio Borile
Alan Perotti
Andre' Panisson
    FAtt
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Papers citing "Evaluating Link Prediction Explanations for Graph Neural Networks"

4 / 4 papers shown
Title
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
Emré Anakok
Pierre Barbillon
Colin Fontaine
Elisa Thébault
47
0
0
19 Mar 2025
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
163
1,095
0
27 Apr 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
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
162
589
0
31 Dec 2020
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