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View all- Shi FLi DWang XLi BWu X(2025)TGformer: A Graph Transformer Framework for Knowledge Graph EmbeddingIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.348674737:1(526-541)Online publication date: Jan-2025
Graph neural networks have demonstrated impressive performance in the field of recommender systems. However, existing graph neural network recommendation approaches are proficient in capturing users’ mainstream interests and recommending popular ...
Graph neural networks have achieved remarkable performance in the field of recommender systems. However, existing graph-based recommendation approaches predominantly focus on suggesting popular items, disregarding the significance of long-tail ...
In order to alleviate the issue of data sparsity, knowledge graphs are introduced into recommender systems because they contain diverse information about items. The existing knowledge graph enhanced recommender systems utilize both user–item ...
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