Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...

देव (deva) — divine, celestial. Graph algorithms are the divine mathematics underlying all networks. A production-ready, zero-dependency TypeScript graph library with 20+ algorithms spanning traversal ...

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 ...

Abstract: Graphs are a fundamental tool for representing and analyzing relationships in data, with applications spanning social networks, the web, and the biological sciences. As the volume of data ...

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 ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

Nearest neighbor search is a fundamental data structure problem with many applications in machine learning, computer vision, recommendation systems and other fields. Although the main objective of the ...

Abstract: In multi-source heterogeneous correlated data, the correlation between data often needs to be established through multiple intermediate nodes or paths. This multi hop correlation may be lost ...