Examples of big graph data in the real world include complex networks, such as social networks and the Web graph, and the map graph used to represent traffic networks. The Complex Network and Map ...

The core of quantum network research lies in efficiently and reliably establishing entanglement between nodes; however, the challenges of maintaining fragile quantum states are far more complex than ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

Dn&co has branded Advanced Research Clusters (ARC), a real estate network which aims to group together companies working across the science and innovation sectors. ARC provides a variety of spaces for ...

PART ONE: BACKGROUND UNDERSTANDING -- Becoming Familiar with Social Networks -- A Brief History of Social Network Analysis -- How to Study Social Networks, from Theory to Design -- PART TWO: LEVELS OF ...

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 ...