FIDELITY-BASED EXPLANABILITY FOR GNNS
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United States of America Patent
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Issued Date -
Mar 27, 2025
app pub date -
Sep 20, 2024
filing date -
Sep 20, 2024
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Abstract
Methods and systems include processing an input graph using a graph neural network (GNN) to generate an output. An explanation sub-graph is generated using an explainer that identifies parts of the input graph that most influence the output. A fidelity measure of the explanation sub-graph is determined that is robust against distribution shifts. An action is performed responsive to the output, the explanation sub-graph, and the fidelity measure.
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