In the coming years, small and medium-sized businesses must incorporate AI to remain competitive in an ever-changing business ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

This depiction is called a Pareto chart ... they can only show qualitative data that can be observed; they cannot be used to represent quantitative data. For example, Pareto charts cannot be ...

Abstract: In the past few years, graph-based methods ... sources at the data level. The graph Laplacian then allows us to perform feature extraction and segmentation on the fused dataset. We apply ...

Graph databases such as Neo4j are very different from traditional Structured Query Language-based data platforms such as Oracle and Microsoft SQL. Instead of storing data in tables consisting of ...

GNN, a framework to train robust GNNs under noisy conditions. Soft-GNN mitigates label noise impact through dynamic ...

Explore how Neo4j’s serverless, zero-ETL graph analytics lets teams find deep insights from connected data, without infrastructure or code overhead.

The organizations that succeed with AI are not those with the most data or the most sophisticated algorithms but those with the clearest sense of direction.

Raipur: In what is being termed as a step towards advancing India's digital transformation journey by the govt, Chhattisgarh CM Vishnu Deo Sai laid the foundation stone on Saturday for the country ...