With the existing capabilities of Neoj4, Eifrem said that the graph database captures explicit relationships between concepts. What vectors do is draw out implicit relationships in data.

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 ...

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.

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 ...

Web site clustering consists in finding meaningful groups of related Web sites. How related is some Web site to another is a question that depends on how we represent Web sites. Traditionally, vectors ...

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 ...