Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Graphs are typical non-Euclidean data of complex structures. In recent years, Riemannian graph representation learning has emerged as an exciting alternative to Euclidean ones. However, Riemannian methods are still in an early stage: most of them present a single curvature (radius) regardless of structural complexity, suffer from numerical instability due …