SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder
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DOI: 10.1109/tkde.2024.3389049
Abstract: Attributed graph clustering aims to group nodes into disjoint categories using deep learning to represent node embeddings and has shown promising performance across various applications. However, two main challenges hinder further performance improvement. First, reliance… read more here.
Keywords: autoencoder; deep attributed; semi supervised; attributed clustering ... See more keywords