STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Researchers have spent decades—and billions of dollars—sequencing animal and crop genomes, but fungi have historically been the forgotten middle child of genomics, only noticed when they're ruining ...

Abstract: Change point detection is crucial for identifying state transitions and anomalies in dynamic systems, with applications in network security, health care, and social network analysis. Dynamic ...

This extension is still very much experimental. Features and APIs are subject to change quickly. The manager be the only interface for extensions / users to retrieve secrets. It knows only one ...

Abstract: Deep learning compilers optimize DNN program execution by capturing them as operator-based computation graphs. However, developers’ deep learning programs often contain complex Python ...

Learn about the changes in this new Code cycle by attending one of EC&M‘s Code Change Conferences. In two informative and interest-filled days, you’ll learn about key NEC changes that will impact your ...