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 ...

I’ve been conducting a large-scale bibliometric study on publicly available Chinese academic literature related to hacking and crashing Western power grids. In this article, I’m sharing the main ...

They have been adapted to process graph data structures to solve various complicated tasks such as graph classification and edge prediction. Eventually, they reached the Graph Drawing (GD) task. This ...

Getting ready for coding interviews can feel like a big challenge, but with the right plan and practice, you can definitely ...