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 ...

Unless you're coding or stress-testing benchmarks, the "latest and greatest" usually won't change how you use AI.

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Anthropic's Claude Science is a capable AI research workbench built for molecular biology. The opportunities for the rest of ...

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

The Time Lord's adventures won't continue on Disney+... or anywhere else in the near future. After traveling in space and time for 60+ years, not all the fun was available on a single streaming ...

Some Tennessee residents are speaking out against a proposed building project for an AI data center campus that would border the Nashville Zoo, which is home to more than 3,000 animals. The public ...

Abstract: Graph Neural Networks (GNNs) exhibit satisfactory performance on homophilic networks, where most edges connect two nodes with the same label. However, their effectiveness diminishes as the ...

WASHINGTON, June 9 (Reuters) - Elon Musk’s xAI and SpaceX have been sued by Mississippi residents who say a power plant fueling nearby data centers is blasting “omnipresent and inescapable” noise that ...