Graph Geometric Algebra networks for graph representation learning

Abstract Graph neural networks (GNNs) have emerged as a prominent approach for capturing graph topology and modeling vertex-to-vertex relationships. They have been widely used in pattern recognition tasks including node and graph label prediction. However, when dealing with graphs from non-Euclidean...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Jianqi Zhong, Wenming Cao
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Subjects:	Geometric Algebra Graph Neural network Node classification Graph classification Feature embedding
Online Access:	https://doi.org/10.1038/s41598-024-84483-0