From Dashboards To Decisions: Why Enterprises Need An Answer Layer

Every week you delay is a week your competitors may be moving from observation to action while you're still debating what the chart means.
IEEE

Knowledge Graph Completion With Pattern-Based Methods

Abstract: Knowledge graphs (KGs) are popularly used to develop several intelligent applications. Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG ...

AWS enters the context layer race with a graph that learns from agents, not manual curation

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships ...
IEEE

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal

Abstract: Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research direction. It ...

Data Readiness Is Not Enough: Why Knowledge And Context Are The Missing Layer For AI

When organizations conflate data readiness with knowledge readiness, the AI can access the records but not the judgment ...

Google Cloud Announces The Open Knowledge Format

Google Open Knowledge Format standardizes how organizational knowledge can be shared between AI agents, tools, and teams.
GitHub

DiffKG: Knowledge Graph Diffusion Model for Recommendation

This is the PyTorch implementation for DiffKG proposed in the paper DiffKG: Knowledge Graph Diffusion Model for Recommendation, which is accepted by WSDM 2024 Oral. Yangqin Jiang, Yuhao Yang, Lianghao ...