Such studies furnish robust algorithms capable of handling a wide range of graph types, thereby opening new avenues for analysing the interplay between algebraic invariants and graph structure [3].

Graph algorithms constitute a fundamental area of computational research that focuses on the analysis and manipulation of graph structures, which represent systems of interconnected entities.

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory.

How Big Data Carried Graph Theory Into New Dimensions Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.

Scalable Graph Algorithms for Bioinformatics using Structure, Parameterization and Dynamic Updates, ERC Consolidator Grant, 9/2025-8/2030 Sequencing technologies have developed to be cheap and ...

Published research demonstrates that reduced link graphs are an effective way to rank links. This article discusses research and patents that explain how reduced link graph algorithms work.

A new algorithm efficiently solves the graph isomorphism problem, which has puzzled computer scientists for decades.

Graph database and analytics software company TigerGraph has expanded its data science library to more than 50 algorithms.

This is where Open Graph, in theory, could continue to funnel data into Facebook’s data centers and, over time, build all sorts of audiences with a few keyword search terms.