Proceedings of the National Academy of Sciences of the United States of America
The role of fibration symmetries in geometric deep learning.
Osvaldo M Velarde, Lucas C Parra, Paolo Boldi, Hernán A Makse
Published: 202610.1073/pnas.2416552123
Abstract
Geometric Deep Learning (GDL) unifies a broad class of machine learning techniques from the perspectives of symmetries, offering a framework for introducing problem-specific inductive biases like Graph Neural Networks (GNNs). However, the current for…
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