Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items

Author:

Liu Yiding1,Gu Yulong2,Ding Zhuoye2,Gao Junchao2,Guo Ziyi2,Bao Yongjun2,Yan Weipeng2

Affiliation:

1. Baidu Inc., Beijing, China

2. JD.com, Beijing, China

Publisher

ACM

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data;Data Mining and Knowledge Discovery;2023-12-26

2. Inferring Complementary and Substitutable Products Based on Knowledge Graph Reasoning;Mathematics;2023-11-20

3. Redrec: Relation and Dynamic Aware Graph Convolutional Network for Sequential Recommendation;2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC);2023-11-03

4. Complementary Product Recommendation for Long-tail Products;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

5. Unveiling the Dynamic Interactions between Spatial Objects: A Graph Learning Approach with Evolving Constraints;Proceedings of the 18th International Symposium on Spatial and Temporal Data;2023-08-23

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