Hypergraph

Diversified recommendation with weighted hypergraph embedding: Case study in music
Recommender systems serve a dual purpose for users sifting out inappropriate or mismatched information while accurately identifying …
Chaoguang Luo, Liuying Wen, Yong Qin, Philip S. Yu, Liangwei Yang, Zhineng Hu
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Instruction-based Hypergraph Pretraining
Pretraining has been widely explored to augment the adaptability of graph learning models to transfer knowledge from large datasets to …
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
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Unified Pretraining for Recommendation via Task Hypergraphsn
Although pretraining has garnered significant attention and popularity in recent years, its application in graph-based recommender …
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
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