Knowledge graph embedding, a highly efficient and scalable approach for link prediction. This paper focuses on distance-based models for KGE, which are lightweight, easy to train, and geometrically ...

Implementation wise, we'd have multiple HNSW graphs per-field (backed by the same raw vectors), each identifiable by an ID (perhaps an integer or string). Each document in this field would specify a ...

We present a novel upper bound for the optimal index coding rate. Our bound uses a graph theoretic quantity called the local chromatic number. We show how a good local coloring can be used to create a ...

Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL Google uses machine learning and graphs to deliver search results. Most search engines do not.