Query2GMM: Gaussian Mixture Model Representation for Effective Reasoning over Knowledge Graphs
Query2GMM presents a novel query embedding approach that leverages Gaussian Mixture Models to accurately represent multiple disjoint answer subsets for complex logical queries, enabling effective reasoning over knowledge graphs.
