If LLMs don’t see you as a fit, your content gets ignored. Learn why perception is the new gatekeeper in AI-driven discovery.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

This paper addresses the multi-attributed graph matching problem, which considers multiple attributes jointly while preserving the characteristics of each attribute for graph matching. Since most of ...

The path following algorithm was proposed recently to approximately solve the matching problems on undirected graph models and exhibited a state-of-the-art performance on matching accuracy. In this ...

“The algorithm team is working very hard and refining the algorithm to produce a more efficient matching system,” Kelly Hong, a Cornell student and Perfect Match’s business team lead, told ...

The envisaged algorithms are numerical solvers based on graph structures. In this article, we focus on kinematics and dynamics algorithms, but examples such as message passing on probabilistic ...

This is even more difficult on directed graphs: many natural characterizations of directed graph decompositions have well-known counterexamples. To tackle these challenges, this algorithm takes the ...

This is the case with an important problem in computer science called "graph isomorphism testing" whereby scientists use algorithms to test whether two graphs are the same.

This project implements a genetic algorithm to solve the Stable Marriage Problem, also known as the Marriage Matching Problem. The goal is to find an optimal matching between 30 men and 30 women, ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.