Abstract: Graph neural networks (GNNs) are widely utilized in recommender systems because they can produce effective embeddings by incorporating high-order collaborative information from neighbors.

Abstract: Knowledge graph completion aims to predict missing entities or relationships in a knowledge graph, addressing the issue of data sparsity. In recent years, deep learning-based models, ...