Browse State-of-the-Art › hypergraph partitioning
hypergraph partitioning
6 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (26 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
26 Oct 2022 1 repository listedThis paper introduces a scalable algorithmic framework (HyperEF) for spectral coarsening (decomposition) of large-scale hypergraphs by exploiting hyperedge effective resistances.
-
17 Aug 2021 1 repository listedTo address the ever-increasing computational challenges, graph coarsening can be potentially applied for preprocessing a given hypergraph by aggressively aggregating its vertices (nodes).
-
19 Feb 2021 1 repository listedWe propose a novel method to co-cluster the vertices and hyperedges of hypergraphs with edge-dependent vertex weights (EDVWs).
-
5 Sep 2017 1 repository listedHypergraph partitioning is an important problem in machine learning, computer vision and network analytics.
-
1 Jan 2017 1 repository listedWe present an improved coarsening process for multilevel hypergraph partitioning that incorporates global information about the community structure.
-
1 Dec 2002 1 repository listedWe evaluate the effectiveness of cluster ensembles in three qualitatively different application scenarios: (i) where the original clusters were formed based on non-identical sets of features, (ii) where the original…
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections