In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

I Aiming at the wide application of graph data in the field of machine learning and deep learning, this paper proposes a novel graph feature data aggregation algorithm. The algorithm is an innovative ...

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial ...

K-Path centrality is based on the flow of information in a graph along simple paths of length at most K. This work addresses the computational cost of estimating K-path centrality in large-scale ...