Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
TMCnet

EBSCO Information Services Expands Linked Data Capabilities with the EBSCO Scholarly Graph

EBSCO Information Services (EBSCO) is introducing new ways for researchers to explore and evaluate scholarship through the ...
ZDNet

Language agnostic document processing: Finding relations using statistics, machine learning, and graphs

Relations are hard. Any relationship counselor can tell you that, as well as anyone who has ever done research on any topic. Finding what other people have done in your domain is hard work, but it is ...
techtimes

Snowflake Users Set to Receive RelationalAI's Knowledge Graph Coprocessor

An artificial intelligence-powered tool is reportedly set to grace Snowflake users as RelationalAI announces its Knowledge Graph Coprocessor is coming to the cloud-based platform. RelationalAI, a ...
SiliconANGLE

RelationalAI brings knowledge graph coprocessor to Snowflake’s data cloud for better decision-making

Artificial intelligence startup RelationalAI Inc. is building on its relationship with Snowflake Inc. with the public launch of its Snowflake Native App, available now on the Snowflake Marketplace. It ...
JSTOR Daily

Clustering and Hierarchy in Interpersonal Relations: Testing Two Graph Theoretical Models on 742 Sociomatrices

This is a preview. Log in through your library . Abstract This paper reports the success of the Davis-Leinhardt graph theoretical model in predicting structural trends in a data bank of 742 sociograms ...