An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...

GCN, an AI method that improves decision-making by identifying hidden patterns in incomplete data. It boosts predictive ...

Paul Whiteley does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Five years ago today, Boris Johnson announced that the government was taking the unprecedented step of ordering the country into lockdown. “Stay at home”, the nation was told – with no idea ...

To tackle these issues, this paper introduces a method combining the dynamic sparse graph learning jointly with projective graph embedding for feature extraction from sensor images. Initially, sparse ...

Abstract: Graph Meta-learning methods have improved the performance of few-shot node classification by means of applying meta-learning to the data in non-Euclidean domains. However, most works focus ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...

Microsoft Graph Explorer is built and developed using node v18. Are you having any trouble with Micrososft Graph or would you like to request a Graph feature? Check the Microsoft Graph - Microsoft Q&A ...