News

Drug Target Review9d
Using knowledge graphs in drug discovery (Part 1): how they link to large language models
Explore how large language models enhance knowledge graphs in drug discovery and improve data management and reasoning.
Diginomica26d
Wikidata adds AI vectors to graph and knowledge bases. Here's why
Fraine says: The knowledge graph perspective is very rigid on purpose. It's for complete knowledge. It's to give you everything connected to what you're looking for, as opposed to giving something ...
IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...
Computer Weekly1mon
SLM series - Memgraph: The SLM-knowledge graph combo
The original title in full for this piece is: From Better Reasoning to Faster QFS, An LLM Just Can’t Match An SLM-Knowledge Graph Combo Memgraph is a graph database company specialising in high ...
manilatimes10d
IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues. The paper, titled "Research on the Application ...