Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

While graph analytics is not a likely replacement for the standard relational databases that many companies will stick with for many years to come, the value of graphs for a particular set of ...

Berkeley Lab’s 2023 Hopper Fellow Tackles Complex Datasets with Large-Scale Graph Analysis Nov. 30, 2023 — David Tench, the 2023 Grace Hopper postdoctoral fellow at Lawrence Berkeley National ...

GraphLab, the open-source distributed database, has received $6.75 million from Madrona Venture Group and NEA for its machine learning technology used to analyze data graphs for recommendation ...

Graph analytics can be performed on any back end, as they only require reading graph-shaped data. Graph databases are databases with the ability to fully support both read and write, utilizing a ...

Graph-Oriented Applications Research Lab; Our research focuses on graphs and their multiple applications: from integrating graph databases to program comprehension or from finding subgraphs ...

Where to use knowledge graphs. According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

A graph representation of coauthorship, taken from either data set, might look like a triangle, showing that each mathematician (three nodes) had collaborated with the other two (three links).

Graph-Oriented Applications Research Lab; Our research focuses on graphs and their multiple applications: from integrating graph databases to program comprehension or from finding subgraphs ...