Fine-grained spatial data are critical for informed decision-making in domains ranging from economic planning to ...

A University of Manchester study found that a grammar-focused technique, LambdaG, can match or surpass advanced AI in identifying text authorship. By analyzing patterns in grammar and sentence ...

Neo4j has expanded its Google Cloud integration with new features aimed at making graph-powered AI agents and analytics more accessible. Enhancements include native Neo4j AI Agent access in Gemini ...

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

NeurIPS NeurIPS, or Neural Information Processing Systems, is pretty much the biggest gathering for anyone serious ...

Abstract: Geometric Deep Learning is a modern approach to deep learning that focuses on the assessment of the structure and inherent symmetry of the data. How to best represent Electrocardiogram (ECG) ...

The prediction of the properties of crystal materials has always been a core issue in materials science and solid-state physics. With the rapid development of computer simulation techniques and ...