Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...
There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...
A graph theory based algorithm for the computation of cyclomatic complexity of software requirements
Abstract: Cyclomatic complexity (CC) is used to find out the number of independent paths in a program or software. In literature, different algorithms have been proposed to compute the CC of a program ...
Plastics recycling is evolving but still faces major challenges as material types are more varied and complex than ever. This complexity often creates issues in sorting, making it difficult for ...
The capability to sort single cells of interest and to deeply characterize them has greatly added to our understanding of biology and disease states. Indeed, cell sorting has become an indispensable ...
String theory captured the hearts and minds of many physicists decades ago because of a beautiful simplicity. Zoom in far enough on a patch of space, the theory says, and you won’t see a menagerie of ...
This study explores the application of parallel algorithms to enhance large-scale sorting, focusing on the QuickSort method. Implemented in both sequential and parallel forms, the paper provides a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback