Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models ...

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.

Given that many AI systems are general-purpose, it prompts to consider how to tap into data's full potential for domain-specific applications. BigGraph AI tackles this challenge head-on by employing a ...

Graph neural networks (GNNs) are powerful artificial intelligence (AI) models designed for analyzing complex, unstructured graph data. In such data, entities are represented as nodes and ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...