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

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

The release of Memgraph 2.0 allows developers to feed algorithms such as PageRank, Community Detection, Breadth-First Search, which is a model for searching a tree data structure for nodes that ...

Cross-listed with DTSA 5503. Course Type: Pathway | Breadth Specialization: Foundations of Data Structures and Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, heaps, priority queues, disjoint set unions, ...

Design algorithms and analyze their complexity in terms of running time and space usage; Create applications that are supported by highly efficient algorithms and data structures for the task at hand; ...

The graph below shows the total number of publications each year in Dynamic Graph Algorithms and Data Structures. References [1] Improved Dynamic Graph Coloring .