Research map / Graph learning / GNN architectures
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train the same model for longer | GNNs on MUTAG and Reddit-Binary · MUTAG and Reddit-Binary | neuron interpretability | Hurt |
| Train for 400 rather than 100 epochs | GNN on MUTAG · MUTAG test set | accuracy | No clear effect |
| Train beyond the first 50 epochs | GNN on Reddit-Binary · Reddit-Binary | neuron interpretability | Hurt |
| Use a 10-layer model and probe deeper layers | GNNs on MUTAG and Reddit-Binary · MUTAG and Reddit-Binary | mean neuron interpretability | Hurt |
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