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Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse
  Interface Methods and Fast Matrix Vector Products
v1v2v3 (latest)

Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products

SIAM Journal on Mathematics of Data Science (SIMODS), 2020
10 July 2020
Kai Bergermann
Martin Stoll
Toni Volkmer
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products"

2 / 2 papers shown
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for
  Semi-Supervised Learning on Multilayer Graphs
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Sara Venturini
Andrea Cristofari
Francesco Rinaldi
Francesco Tudisco
169
7
0
31 May 2023
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time
  Series Classification
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series ClassificationFrontiers in Applied Mathematics and Statistics (Front. Appl. Math. Stat.), 2021
Dominik Alfke
Miriam Gondos
Lucile Peroche
Martin Stoll
AI4TS
356
4
0
16 Apr 2021
1
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