Abstract: Clustering is an unsupervised method for grouping data points based on their similarities. The quality of clustering outcomes typically relies on distance metrics, which measure the degree ...

Abstract: Self-supervised tasks show significant advantages for node representation learning in recommender systems. This core idea of self-supervised task-based recommender systems depends on data ...