no code implementations • 24 Oct 2021 • Matthias Lalisse, Paul Smolensky
A framework and method are proposed for the study of constituent composition in fMRI.
1 code implementation • 24 Oct 2021 • Matthias Lalisse, Eric Rosen, Paul Smolensky
We present Harmonic Memory Networks (HMem), a neural architecture for knowledge base completion that models entities as weighted sums of pairwise bindings between an entity's neighbors and corresponding relations.
no code implementations • 2 Nov 2018 • Matthias Lalisse, Paul Smolensky
Neural models of Knowledge Base data have typically employed compositional representations of graph objects: entity and relation embeddings are systematically combined to evaluate the truth of a candidate Knowedge Base entry.
Ranked #1 on Knowledge Graphs on FB15k