Dynamic Spanning Trees for Connectivity Queries on Fully-dynamic Undirected Graphs (Extended version)
Not on the map. Why?
Abstract (arXiv)
Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are inserted and deleted frequently. Existing work proposes data structures and algorithms with worst-case guarantees. We propose a new data structure, the dynamic tree (D-tree), together with algorithms to construct and maintain it. The D-tree is the first data structure that scales to fully dynamic graphs with millions of vertices and edges and, on average, answers connectivity queries much faster than data structures with worst case guarantees.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 14 Jul 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1.
1 paper.
- 2022Integrating connection search in graph queriescited by 0
- 2022Integrating connection search in graph queries9 Aug 2022