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Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling
  Techniques

Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques

21 February 2016
D. Ghoshdastidar
Ambedkar Dukkipati
ArXivPDFHTML

Papers citing "Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques"

7 / 7 papers shown
Title
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut,
  Weighted Kernel $k$-means, and Heat Kernel
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel kkk-means, and Heat Kernel
Shota Saito
16
3
0
18 Mar 2022
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detection
Ludovic Stephan
Yizhe Zhu
34
18
0
14 Mar 2022
On consistency of constrained spectral clustering under
  representation-aware stochastic block model
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta
Ambedkar Dukkipati
49
1
0
03 Mar 2022
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu
Miaoyan Wang
23
4
0
19 Jan 2022
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Krishnakumar Balasubramanian
22
12
0
18 May 2021
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Kwangjun Ahn
Kangwook Lee
Changho Suh
24
62
0
23 May 2018
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
94
191
0
11 Oct 2012
1