Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks—vertices (dots) and edges (lines connecting them)—has been an invaluable way to ...

Social networks transformed the Internet into a complex web of relationships; social graph analysis offers a way to understand those relationships Social graph models are powerful enablers for ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

REDWOOD CITY, Calif., June 12, 2018 (GLOBE NEWSWIRE) -- TigerGraph, the world’s fastest graph analytics platform for the enterprise, today announced the free Developer Edition of its graph analytics ...

Memgraph, a leader in open-source, in-memory graph databases, is introducing a new capability designed to accelerate business adoption of graph-based retrieval-augmented generation (GraphRAG), Atomic ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

Today Cray’s YarcData subsidiary announced the YarcData Graph Analytics Challenge. With $100,000 in prizes, the contest will recognize the best submissions for solutions of un-partitionable, Big Data ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

Grochow is among a growing chorus of researchers who point out that when it comes to finding connections in big data, graph theory has its limits. A graph represents every relationship as a dyad, or ...