ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its offering. Written by George Anadiotis, Contributor Aug. 27, 2020 at 5:00 a.m. PT ...

Oracle releases GraphPipe for machine learning model serving ...

Oracle is aiming to solve this challenge with a new open source, high-performance standard network protocol for transmitting tensor data. The new standard, called GraphPipe, should make it easier ...

While teams spend lots of energy developing a machine learning model, it’s hard to actually deploy the model for customers to use. That’s where Graphpipe comes in.

More information: Xiaorui Su et al, Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning, Nature Biomedical Engineering (2025).

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

Data preparation for machine learning. Once you have a data source to train on, the next step is to ensure it can be used for training. The catchall term for ensuring consistency in the data to be ...

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...