graphs-17
Approximating Betweenness-Centrality ranking
3260 papers • 126 benchmarks • 313 datasets
Betweenness-centrality is a popular measure in network analysis that aims to describe the importance of nodes in a graph. It accounts for the fraction of shortest paths passing through that node and is a key measure in many applications including community detection and network dismantling.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in approximating-betweenness-centrality-ranking-17
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find approximating-betweenness-centrality-ranking-17 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.