awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Explore a collection of research papers on self-supervised learning techniques for graph-based data.
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Free · no card · unsubscribe anytimePapers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome-self-supervised-gnn has 1.7k stars on GitHub. It has been forked 167 times. awesome-self-supervised-gnn is written mainly in Python. It has been in active development since 2020. Its main topics are deep-learning, graph-mining, graph-neural-networks, graph-self-supervised-learning.
What is awesome-self-supervised-gnn?
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Is awesome-self-supervised-gnn open source?
awesome-self-supervised-gnn is an open-source project.
Is awesome-self-supervised-gnn free?
Yes. awesome-self-supervised-gnn is free and open source — you can use, modify and self-host it.
What language is awesome-self-supervised-gnn written in?
awesome-self-supervised-gnn is written mainly in Python.
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