Source code and data for the PhD Thesis "Learning Neural Graph Representations in Non-Euclidean Geometries"

This dataset contains source code and data used in the PhD thesis "Learning Neural Graph Representations in Non-Euclidean Geometries". The dataset is split into four repositories: figet: Source code to run experiments for chapter 6 "Constructing and Exploiting Hierarchical Graphs". hyfi: Source code to run experiments for chapter 7 "Inferring the Hierarchy with a Fully Hyperbolic Model". sympa: Source code to run experiments for chapter 8 "A Framework for Graph Embeddings on Symmetric Spaces". gyroSPD: Source code to run experiments for chapter 9 "Representing Multi-Relational Graphs on SPD Manifolds".