Faster and Scalable Algorithms for Densest Subgraph and Decomposition
–Neural Information Processing Systems
We study the densest subgraph problem (DSG) and the densest subgraph local decomposition problem (DSG-LD) in undirected graphs. We also consider supermodular generalizations of these problems. For large scale graphs simple iterative algorithms perform much better in practice than theoretically fast algorithms based on network-flow or LP solvers. Boob et al. [1] recently gave a fast iterative algorithm called G
Neural Information Processing Systems
Mar-27-2025, 11:47:08 GMT