DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder
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DOI: 10.1109/tnnls.2025.3583045
Abstract: Although contrastive self-supervised learning (SSL) on dynamic graphs has made significant success, the issue of heavy reliance on data augmentation and training tricks has been a persistent pain point. Generative SSL, especially masked autoencoders (MAEs)… read more here.
Keywords: self supervised; graph masked; graphs; dynamic graphs ... See more keywords