Graph algorithms and spanners have emerged as a critical area of research in computer science, underpinning both theoretical advances and practical applications such as network design, routing ...

インプレスグループで理工学分野の専門書出版事業を手掛ける株式会社近代科学社は、2021年11月24日に、『セジウィック：アルゴリズムC 第5部 グラフアルゴリズム』（著者：R.セジウィック、訳者：田口 東、高松 瑞代、高澤 兼二郎）を発行いたしました。

A new framework called Falcon, developed by Unnikrishnan Cheramangalath, is revolutionizing graph analytics. This ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

On the 19th of February 2025, M.Sc. Andreas Grigorjew defends his PhD thesis on Algorithms and Graph Structures for Splitting Network Flows, in Theory and Practice. The thesis is related to research ...

Abstract: The speed of algorithms on massive graphs depends on the size of the given data. Grammar-based compression is a technique to compress the size of a graph while still allowing to read or to ...

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a ...

NEW YORK and PARIS, June 21, 2024 — CAST, a global leader in software intelligence, announced a strategic research collaboration with the Laboratoire d’InfoRmatique en Image et Systèmes d’information ...

Graph analytics improves AI decision-making by uncovering hidden patterns and relationships in complex data, delivering more accurate insights with richer context than traditional analytics. Yet ...