There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on ...

Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring.

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

Graph algorithms are the driving force behind the next generation of AI and machine learning that will power even more industries and use cases. To this end, Redwood City, Calif.-based graph ...

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.

Enterprises that want to use powerful graph algorithms to discover relationships hidden in their data now have an easier path to get there thanks to the new data science library unveiled today by ...

TigerGraph has been a leader in graph data management with its real-time scalable graph database, and graph algorithms have been part of TigerGraph’s DNA since our start. We used to call our ...

In July/August 2019, two things changed with Google's Knowledge Graph API that may be a turning point both for Google and for us as digital marketers.