Beatrice Pozzetti

Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach

Learning faithful graph representations as sets of vertex embeddings has become a fundamental intermediary step in a wide range of machine learning applications. We propose the systematic use of symmetric spaces in representation learning, a class encompassing many of the previously used embedding t…