Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Traditional shortest-path graph kernels generate for each graph a histogram-like feature map, whose elements represent the number of occurrences of non-isomorphic shortest paths in this ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Given an unweighted graph represented using adjacency lists and a source vertex s, compute the shortest path from the source vertex to all other vertices.

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Abstract: Graph theory is a critical field in computer science and mathematics, particularly in solving shortest path problems. In this paper, a comparative analysis of Breadth-First Search (BFS) and ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

I've been playing video games almost my entire life, with a particular preference for RPGs, Strategy Games, and 3D Platformers. When I'm not writing or gaming, I usually work on my own game projects ...

In this post, I demonstrate how you can extend the classic implementation of the Floyd-Warshall algorithm with route tracking capability to reconstruct the shortest paths routes later. In the previous ...