BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

A benchmarking toolkit for comparing Kruskal's and Prim's minimum spanning tree algorithms across various graph configurations, with visualization tools and performance analysis reports. python ...

Graph databases and knowledge graphs—especially when combined—fulfill this role. This is part of a rapidly unfolding movement in which “databases have evolved from merely storage layers for ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Gallai–Ramsey theory lies at the intersection of graph colouring and Ramsey theory, providing a framework for understanding how structures emerge in edge-coloured graphs.

The graph below shows the total number of publications each year in Anti-Ramsey Theory in Graphs. References [1] Rainbow disjoint union of P 4 and a matching in complete graphs .

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

The major trend in heterogeneous wireless networks is determining the best access network for the end user in terms of quality of service (QoS)and providing ubiquitous connectivity during the network ...