MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning | ScienceToStartup | ScienceToStartup

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References (45)

[1]

Explaining GNN Explanations with Edge Gradients

2025Jesse He, Akbar Rafiey et al.

[2]

Can Interpretation Predict Behavior on Unseen Data?

2025V. Li, Jenny Kaufmann et al.

[3]

Graph neural networks extrapolate out-of-distribution for shortest paths

Founder's Pitch

"Introducing MINAR, a toolbox for discovering neuron-level circuits in GNNs trained for algorithmic reasoning."

Graph Neural Networks•Score: 4•View PDF ↗

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MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning

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References (45)

Founder's Pitch

"Introducing MINAR, a toolbox for discovering neuron-level circuits in GNNs trained for algorithmic reasoning."

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