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Robust Graph Embedding with Noisy Link Weights

Robust Graph Embedding with Noisy Link Weights

22 February 2019
Akifumi Okuno
Hidetoshi Shimodaira
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Robust Graph Embedding with Noisy Link Weights"

4 / 4 papers shown
Identifiability of a statistical model with two latent vectors:
  Importance of the dimensionality relation and application to graph embedding
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding
Hiroaki Sasaki
CML
185
0
0
30 May 2024
Minimizing robust density power-based divergences for general parametric
  density models
Minimizing robust density power-based divergences for general parametric density modelsAnnals of the Institute of Statistical Mathematics (AISM), 2023
Akifumi Okuno
233
3
0
11 Jul 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
DropMessage: Unifying Random Dropping for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Taoran Fang
Zhiqing Xiao
Chunping Wang
Jiarong Xu
Xuan Yang
Yang Yang
339
68
0
21 Apr 2022
Hyperlink Regression via Bregman Divergence
Hyperlink Regression via Bregman DivergenceNeural Networks (NN), 2019
Akifumi Okuno
Hidetoshi Shimodaira
232
6
0
22 Jul 2019
1
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