Students may have been thrown by new topics on the higher-level applied maths paper but there was also a good mix of the ...

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. A ...

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

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 ...

Attribute graph embedding algorithms based on graph neural networks aggregate information about the neighborhood of a target node to update the embedding of the target node, i.e. neighborhood ...

A gate-level partitioning algorithm based on vertex-degree of undirected graph is proposed for parallel simulation of very large-scale integrate (VLSI) circuit in this paper. Both the inner-and outer ...

Competitive Coding GitHub repo showcases solutions to SPOJ, LeetCode, HackerRank, and Codeforces challenges, offering insights into coding excellence. Ideal for learners and enthusiasts, it's ...