AdaGeM: Adaptive Geometric Learning on Manifolds for Hyper-Relational Knowledge Graphs
An adaptive geometric hypergraph encoder that projects entities into a product manifold and design a topology-aware gating mechanism to dynamically select optimal geometric spaces for each entity, and a role-aware Transformer equipped with role-specific projections and micro-structural bias injection to refine embeddings.