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GraphVICRegHSIC: Towards improved self-supervised representation
  learning for graphs with a hyrbid loss function
v1v2v3v4 (latest)

GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function

25 May 2021
Sayan Nag
    SSL
ArXiv (abs)PDFHTML

Papers citing "GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function"

3 / 3 papers shown
Title
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
A Distillation-based Future-aware Graph Neural Network for Stock Trend PredictionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Zhipeng Liu
Peibo Duan
Mingyang Geng
Bin Zhang
131
1
0
15 Feb 2025
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,625
0
17 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on GraphsInternational Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
668
1,556
0
10 Jun 2020
1