REDWOOD CITY, Calif. and SANTA BARBARA, Calif., July 15, 2025 (GLOBE NEWSWIRE) -- TigerGraph, the leading provider of enterprise graph database and AI infrastructure solutions, today announced a strat ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Detecting community structure is an important problem in complex networks. Recently, the community detection method based on centers and neighbors (DCN) has been proposed, which is divided into two ...

AI has the potential to revolutionize local government operations, but American cities face significant challenges in adopting these technologies. In interviews with more than 150 local leaders ...

Use graph databases for specific tasks like detecting complex fraud patterns, while continuing to store transactional data in relational databases. Leverage fraud detection knowledge graphs: Build ...

However, with the sampling of graphs, I had many problems, and after reading some articles about graph sampling with algorithms, I got acquainted with Forest fire sampling with landmarks and ...

Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals ...

Although community or cluster identification is becoming a standard tool within the simulation community, traditional algorithms are challenging to adapt to time-dependent data. Here, we introduce ...

There is a growing trend toward the use of interaction network methods and algorithms, including community-based detection methods, in various fields of science. The approach is already used in many ...