Abstract: Lying at the intersection of self-supervised learning (SSL) and knowledge distillation (KD), Self-supervised KD (SSKD) differs from classical KD frameworks by assuming the teacher model is ...
Abstract: Variational autoencoders (VAEs) have been widely used for node clustering, with existing methods mainly focusing on enhancing the expressiveness of their latent space. Recently, the ...
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