Recent advances in the study of automorphism groups within graph theory have yielded significant theoretical and applied insights. At its core, the interplay between the algebraic structure of ...

Despite graph theory's immense analytical potential, the intricacy of existing professional imaging data processing software—often demanding high-level programming acumen—has been a bottleneck ...

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention mechanisms. Delivering 97% faster detection and improved ...

This course examines the basic concepts and techniques of graph theory. The topics to be covered are: fundamental concepts, connectivity and matchings, colourings, extremal problems, Ramsey theory, ...

Researchers built an AI materials map uniting experimental and computational data, guiding faster, more accurate material ...

The Journal of Conflict Resolution, Vol. 64, No. 10 (November 2020), pp. 1885-1915 (31 pages) Does theory contribute to forecasting accuracy? We use event data to show that a parsimonious model ...