ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
This is a curated list of research papers on self-supervised learning for Graph Neural Networks (GNNs), categorized by publication year. It helps researchers stay up-to-date with the latest advancements in training GNNs without relying on extensive labeled data. The resource takes in the need for information on GNN pretraining and outputs direct links to relevant academic papers, making it useful for machine learning researchers and data scientists working with graph-structured data.
1,714 stars. No commits in the last 6 months.
Use this if you are a researcher or practitioner exploring the cutting edge of self-supervised learning techniques for Graph Neural Networks and need to quickly find relevant academic papers.
Not ideal if you are looking for an implementation-ready library or a tutorial on how to apply GNNs to a specific problem.
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Feb 02, 2024
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