Graph technology is approaching an inflection point in its journey from an interesting new type of database to an essential tool for enterprise workloads. The progression graph technology is taking ...

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in ...

The core of this research lies in the combination of Graph Neural Networks (GNN) and Reinforcement Learning to achieve coordinated control of up to eight robotic arms, enabling efficient and collision ...

Coursera, Inc. (NYSE: COUR), a leading global online learning platform, today announced the launch of Skill Tracks, a data-backed learning solution mapped to specific occupations that guides learners ...

When it comes to introducing elementary students to statistical concepts, less can be more. That’s the idea behind “slow reveal graphs,” a lesson model in which teachers gradually unveil and discuss ...

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...