How graph databases can make vectors more useful. The fundamental building block of the Neo4j database is the knowledge graph. Eifrem explained that with a traditional relational database, ...

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 ...

Traditionally, vectors and graphs have been two important structures to represent individuals in a population. Both representations can play an important role in the Web area if hyper structure is ...

Graphs > vectors. Graphs are about relationships and stable sources of truth; vectors merely capture text that has been turned into numbers that are similar to other numbers. When optimizing for ...

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.

This is the official implementation for paper Navigating Labels and Vectors: A Unified Approach to Filtered Approximate Nearest Neighbor Search, which builds the Unified Navigating Graph (UNG) index ...

We train on graphs randomly generated based on variant specific parameters. 50,000 graphs were generated and separated according to the chromatic number for training, and 5,000 graphs for evaluation.

The main contribution of this work is to increase the coding productivity for GPU programming by using the concept of Static Graphs. To do so, we have combined the new CUDA Graph API with the OpenACC ...