As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power ...

and dynamically generating knowledge graphs for hypothesis generation. It delivered significant improvements in reasoning depth, adaptability, and accuracy compared to conventional methods. The ...

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

GraphChem is an open source Python package for constructing graph-based machine learning models with a focus on fuel property prediction. To contribute to GraphChem, make a pull request. Contributions ...