Fluree Launches Verifiable Knowledge Graph Database for Agentic AI

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries ...
Hacker

Context Graphs, Ontologies, and the Race to Fix Enterprise AI

Got Tech, Data, AI and Media, and not afraid to use them. Gartner highlighted Data Management, Semantic Layers, and GraphRAG as Top Trends in Data and Analytics for 2026. Startups and incumbents in ...
Hacker

Knowledge Graphs Gain Traction as AI Pushes Beyond Traditional Data Models

Got Tech, Data, AI and Media, and not afraid to use them. Are graphs really the new star schema? What do graphs look like to non-insiders, and what is it that attracts them to the graph community, ...
GitHub

KGTK: Knowledge Graph Toolkit

The Knowledge Graph Toolkit (KGTK) is a comprehensive framework for the creation and exploitation of large hyper-relational knowledge graphs (KGs), designed for ease of use, scalability, and speed.
GitHub

AKSW/LLM-KG-Bench

Framework and task collection for automated benchmarking of Large Language Modells (LLMs) on Knowledge Graph (KG) related tasks. Results and logs are stored in folder runs. The generated filenames ...
Frontiers

A generic framework for the semantic contextualization of indicators

Indicators are quantitative or qualitative measures used to gauge various aspects of society and assess change over time (such as monitoring the progress or effectiveness of a public policy). Ideally, ...
C&EN

Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks

You are free to share (copy and redistribute) this article in any medium or format within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must ...