Search Results for author: Naicheng Guo

Found 3 papers, 0 papers with code

Integrating Large Language Models with Graphical Session-Based Recommendation

no code implementations26 Feb 2024 Naicheng Guo, Hongwei Cheng, Qianqiao Liang, Linxun Chen, Bing Han

SBR has been primarily dominated by Graph Neural Networks, which have achieved many successful outcomes due to their ability to capture both the implicit and explicit relationships between adjacent behaviors.

Natural Language Understanding Session-Based Recommendations +2

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation

no code implementations16 May 2022 Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Xiaobo Guo

In this paper, we propose a Poincar\'{e}-based heterogeneous graph neural network named PHGR to model the sequential pattern information as well as hierarchical information contained in the data of SR scenarios simultaneously.

Graph Representation Learning Sequential Recommendation

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