Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic Graph Engines represent the next major paradigm after databases, ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Graph colouring is a fundamental problem in both theoretical and applied combinatorics, with significant implications for computer science, operational research and network theory. At its essence, ...

Graph partitioning and bisection problems occupy a central position in combinatorial optimisation and theoretical computer science. These issues involve dividing a graph’s vertex set into distinct ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

Galway, Ireland – 24th June, 2025 — Siren, the all-in-one investigation company, today announced its adoption of Graph Query Language (GQL), the world’s first ISO-standard query language for graphs, ...

SAN FRANCISCO, Feb. 05, 2026 (GLOBE NEWSWIRE) -- RelationalAI today announced it has been included in the inaugural Gartner (R) 2026 Magic Quadrant (TM) for Decision Intelligence Platforms.

RelationalAI—evaluated alongside 16 other vendors— has the only platform built as a Snowflake Data Cloud-native Decision Intelligence Platform in this assessmentSAN FRANCISCO, Feb. 05, 2026 (GLOBE ...