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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"

3 / 3 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
183
0
0
30 May 2024
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
333
67
0
21 Apr 2022
Hyperlink Regression via Bregman Divergence
Hyperlink Regression via Bregman DivergenceNeural Networks (NN), 2019
Akifumi Okuno
Hidetoshi Shimodaira
216
6
0
22 Jul 2019
1