Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

This week’s cybersecurity recap covers Firefox and Chrome bugs, EDR-killer tools, a TV botnet, an OpenBSD flaw, Android ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Obsidian is a powerful note-taking and knowledge management application designed for personal and team use. Unlike traditional note apps, it allows users to create a network of interconnected notes.

Nvidia acquires Kumo AI for $400M, boosting enterprise predictive models with graph neural networks and automation for global business data.

Abstract: With the explosive growth of graph data in scale, noise, and structural complexity, existing graph neural networks (GNNs) are reaching a performance bottleneck when simultaneously modelling ...

NodePiece is a "tokenizer" for reducing entity vocabulary size in knowledge graphs. Instead of shallow embedding every node to a vector, we first "tokenize" each node by K anchor nodes and M relation ...

GWM covers six scenarios: multi-modal generation and matching, recommendation systems, graph prediction, multi-agent collaboration, retrieval-augmented generation, and planning and optimization. It ...

Abstract: Node embedding is the task of extracting informative and descriptive features over the nodes of a graph. The importance of node embedding for graph analytics as well as learning tasks, such ...