Probing Graph Neural Network Activation Patterns Through Graph Topology | ScienceToStartup | ScienceToStartup

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References (27)

[1]

Position: Don't be Afraid of Over-Smoothing And Over-Squashing

2026Niklas Kormann, Benjamin Doerr et al.

[2]

Oversmoothing, "Oversquashing", Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning

2025Adrián Arnaiz-Rodríguez, Federico Errica

[3]

Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability

Founder's Pitch

"Utilize graph topology curvature as a diagnostic probe to enhance graph neural network learning insights."

Graph Neural Networks•Score: 4•View PDF ↗

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Probing Graph Neural Network Activation Patterns Through Graph Topology

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References (27)

Founder's Pitch

"Utilize graph topology curvature as a diagnostic probe to enhance graph neural network learning insights."

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