Put simply, smoothed analysis introduces small random perturbations to the connections in a graph rather than focusing purely on worst-case scenarios. "If an algorithm performs well after randomly ...

Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems.

Where Graph Theory Meets The Road: The Algorithms Behind Route Planning 33 Comments by: Maya Posch April 4, 2024 ...

Charles Bordenave, Marc Lelarge, Justin Salez, THE RANK OF DILUTED RANDOM GRAPHS, The Annals of Probability, Vol. 39, No. 3 (May 2011), pp. 1097-1121 ...

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.

Today Memgraph, the streaming graph application platform, announced Memgraph 2.0, the public launch of its source-available platform, making it easy f ...

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 ...

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