benchmark datasets 1cayley graphs 1finite groups 1graph neural networks 1group property prediction 1spectral graph theory 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.ML2026
Learning the Graphical Nature of Symmetries
Rashid Barket, Enrico Grimaldi, Yacoub Hendi +3
The paper creates a large dataset of Cayley graphs for finite groups, analyzes their structural and spectral properties, and evaluates how well graph statistics and graph neural ne…
cs.LG2026
The Geometry of Polynomial Group Convolutional Neural Networks
Yacoub Hendi, Daniel Persson, Magdalena Larfors
We study polynomial group convolutional neural networks (PGCNNs) for an arbitrary finite group . In particular, we introduce a new mathematical framework for PGCNNs using the la…
hep-th2024
Learning Group Invariant Calabi-Yau Metrics by Fundamental Domain Projections
Yacoub Hendi, Magdalena Larfors, Moritz Walden
We present new invariant machine learning models that approximate the Ricci-flat metric on Calabi-Yau (CY) manifolds with discrete symmetries. We accomplish this by combining the $…