Abstract: Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical models can be ...

Abstract: Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features. The prime challenges ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

There was an error while loading. Please reload this page.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Graph Therapeutics is a biotech company developing precision medicines for inflammatory and immune-mediated diseases using AI ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

VANCOUVER, WA, UNITED STATES, June 19, 2026 /EINPresswire.com/ -- DataGroomr, the AI Salesforce data quality platform, ...