arXiv cs.LG
· Papers
A General Framework for Learning Algebraic Properties from Cayley Graphs using Graph Neural Networks
arXiv:2606.26212v1 Announce Type: new Abstract: A Graph Neural Network (GNN) framework for predicting the solvability of finite groups from their Cayley graph representations was introduced in [1]. In the present work, we generalize this approach and develop a property-independent framework for learning algebraic prope