Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...

GDS 2.0 and AuraDS from Neo4j bring graph data science one step closer to mainstream adoption.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Network graphs, now growing in popularity, are designed to help us see connections, capturing the interplay between many dimensions.

Drawing and interpreting graphs and charts is a skill used in many subjects. Learn how to do this in science with BBC Bitesize. For students between the ages of 11 and 14.

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

Drawing and interpreting graphs and charts is a skill used in many subjects. Learn how to do this in science with BBC Bitesize. For students between the ages of 11 and 14.

Yulei Ye, Hanglei Hu, Bo Jiang, Constructing an ontology-based knowledge graph for K-12 computer science competency via human-AI collaboration, Educational Technology & Society, Vol. 28, No. 3 (July ...