Python bindings for the DF-Louvain algorithm, a "Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs," originally implemented in C++ with OpenMP. This package allows Python ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Community structures are common features of many real-world networks, and community detection is necessary to understand how these networks are organized. Various approaches have been devised for ...

Community detection algorithms are essential tools for understanding complex networks, yet their results often vary between runs and are affected by node input order and the presence of outliers, ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

SHREVEPORT, La. - No one knows you more than an algorithm. Your best friend may not know you like to watch videos of people knitting or power washing a sidewalk. But the algorithms of TikTok and ...

Cardionex, a novel cardiovascular drug, is under evaluation for efficacy and side effect profiles in patients with early-stage heart failure. Traditional analyses group patients by basic demographics ...

Abstract: In this paper we present and evaluate a parallel community detection algorithm derived from the state-of-the-art Louvain modularity maximization method. Our algorithm adopts a novel graph ...

"Neo.ClientError.Procedure.ProcedureCallFailed: Failed to invoke procedure `algo.beta.louvain.stream`: Caused by: java.lang.IllegalArgumentException: Incompatible ...