Paper ID: 2309.00699

Geometric Deep Learning: a Temperature Based Analysis of Graph Neural Networks

M. Lapenna, F. Faglioni, F. Zanchetta, R. Fioresi

We examine a Geometric Deep Learning model as a thermodynamic system treating the weights as non-quantum and non-relativistic particles. We employ the notion of temperature previously defined in [7] and study it in the various layers for GCN and GAT models. Potential future applications of our findings are discussed.

Submitted: Sep 1, 2023