Graph Mining: The process of extracting useful patterns and structures from graph-structured data. Subgraph: A subset of a graph that consists of a select group of nodes and the edges connecting them.

Alongside text-based large language models (LLMs) including ChatGPT, in industrial fields, GNN (Graph Neural Network)-based graph AI models that ...

Software Engineer Creates Tool to Track User Behavior in Data Analysis Software  Recent data shows that using outdated data visualization systems and other ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Microsoft recently announced the launch of Project Ire – a dedicated AI agent for malware analysis and classification by ...

A network is a mathematical model used to represent relationships through connections, and this framework can be used to represent many real-world systems, such as the brain. There are multiple ways ...

DPABINet marks a significant leap forward in brain imaging data analysis, furnishing researchers with a potent, user-friendly instrument to delve into the complexities of brain networks and their ...