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HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance
  Clustering
v1v2 (latest)

HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering

26 October 2022
Ali Aghdaei
Zhuo Feng
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering"

4 / 4 papers shown
SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning
SHyPar: A Spectral Coarsening Approach to Hypergraph PartitioningIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024
Hamed Sajadinia
Ali Aghdaei
Zhuo Feng
407
1
0
09 Oct 2024
SGM-PINN: Sampling Graphical Models for Faster Training of
  Physics-Informed Neural Networks
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks
John Anticev
Ali Aghdaei
Wuxinlin Cheng
Zhuo Feng
AI4CE
204
1
0
10 Jul 2024
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
S. S. Shuvo
Ali Aghdaei
Zhuo Feng
375
0
0
15 Jun 2024
inGRASS: Incremental Graph Spectral Sparsification via
  Low-Resistance-Diameter Decomposition
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition
Ali Aghdaei
Zhuo Feng
133
2
0
26 Feb 2024
1
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