186 citations · 451 across the 24 of their papers we have counts for
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cs.LG2021★ 27 cited
A Meta-Learning Approach for Training Explainable Graph Neural Networks
Indro Spinelli, Simone Scardapane, Aurelio Uncini
In this paper, we investigate the degree of explainability of graph neural networks (GNNs). Existing explainers work by finding global/local subgraphs to explain a prediction, but…
cs.LG2021★ 100 cited
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
Indro Spinelli, Simone Scardapane, Amir Hussain +1
Graph representation learning has become a ubiquitous component in many scenarios, ranging from social network analysis to energy forecasting in smart grids. In several application…