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 su-permodular 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
Nov-15-2025, 18:41:30 GMT
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