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Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.
SAN MATEO, Calif., April 8, 2020 /PRNewswire/ -- Neo4jⓇ, the leader in graph technology, announced the availability of Neo4j for Graph Data Scienc ...
Katie Roberts, PhD, data science solution architect at Neo4j, joined DBTA's webinar, 'Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems,' to explore how building ...
Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Skip to main content Saturday 5 July 2025 ...
Knowledge graphs: The link between data and meaning. ... (NLP) and data science, he has constructed tools designed to enhance SEO strategies, providing a competitive edge to practitioners.
Serverless offering with 65+ ready-to-use algorithms boosts model accuracy by up to 80% and delivers 2X deeper insights - no graph expertise needed ...
We can express these entities and relationships as a network of assertable facts, that is a “graph” of what we know. Having built such a structure, we can query it for patterns but can also compute ...
Network graphs can show how your customers are segmented and the risk of churn for each segment. You can discover that what you thought were three or four main segments are actually 10.
Knowledge graphs make LLMs more accurate ... such as “Who are the members of Rishi Sunak’s cabinet,” but you can also compute over the graph using graph algorithms and graph data science.
In data set 4, almost everybody sleeps exactly eight hours per day, and their sleep habits have no correlation to how much they exercise, whereas one person in the sample sleeps almost 20 hours a ...
Digital Science has completed the acquisition of metaphacts, which has become the newest member of the Digital Science family. Based in Germany, metaphacts is a knowledge graph and decision ...