110 citations · 193 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 78 cited
Self-Guided Learning to Denoise for Robust Recommendation
Yunjun Gao, Yuntao Du, Yujia Hu +4
The ubiquity of implicit feedback makes them the default choice to build modern recommender systems. Generally speaking, observed interactions are considered as positive samples, w…
cs.IR2022★ 5 cited
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen +2
Knowledge graph (KG) plays an increasingly important role to improve the recommendation performance and interpretability. A recent technical trend is to design end-to-end models ba…
cs.IR2022★ 110 cited
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
Yuntao Du, Xinjun Zhu, Lu Chen +2
A knowledge graph (KG) consists of a set of interconnected typed entities and their attributes. Recently, KGs are popularly used as the auxiliary information to enable more accurat…