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Emerging Research Trends in Self-Supervised Graph Neural Networks

Product DescriptionDiscover a curated compilation of research papers on self-supervised learning in graph neural networks (GNNs), organized by year. This resource includes widely-cited studies and offers access to related code for further exploration. Stay informed on recent developments, suggest additions, or report errors. Topics covered include community detection, representation learning, and anomaly detection, with insights into pioneering techniques and applications.
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