Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

But as mobile hardware advances, Machine Learning (ML) techniques, particularly Graph Neural Networks (GNNs), are emerging as a powerful, efficient alternative to emulate physics on mobile. GNNs are ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

PALO ALTO, Calif., August 26, 2025--martini.ai's 6-level Financial Autonomy Ladder sets a standard to guide financial ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...

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