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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 ...
Xaba, a startup building synthetic brains for industrial robots with zero code, announced it has raised $6 million.
The global graph database market is expected to grow at a CAGR of 22.4%, reaching USD 12.3 billion by 2034. North America ...
Managing large-scale enterprise data has long posed challenges for organizations aiming to harness analytics, artificial ...
The Gene Ontology (GO) project is a bioinformatics initiative that provides an ontology (shared vocabulary) of defined terms to represent specific gene product properties. The use of controlled ...
Where would we be without knowledge? Everything from the building of spaceships to the development of new therapies has come about through the creation, sharing, and validation of knowledge.
School of Information Science and Engineering, Hebei University of Science and Technology, 26 Yuxiang Street, Shijiazhuang, Hebei Province 050018, P. R. China ...
and visualizes the relationships as an interactive knowledge graph. A demo of a knowlege graph created with this project can be found here: Industrial-Revolution Knowledge Graph ...
66 million years later human knowledge work is facing a similar extinction event. It’s become quite clear that Generative AI technology will eliminate many of the activities commonly performed ...
The MLMLKR framework comprises five layers: task, area, object, action, and agent, as well as three levels: ontology, template ... Finally, we employ multilayer multi-level knowledge graph and KET2A ...
conducted a study on the causal link between depression and AD (28). Refining ontology-based knowledge in a knowledge graph helped to partially address the shortcomings of structured knowledge ...
Yet, a key challenge persists: how to efficiently integrate external knowledge. Traditional methods such as fine-tuning and Retrieval-Augmented Generation (RAG) come with trade-offs—fine-tuning ...
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