Naicheng Guo

According to our database, Naicheng Guo authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Integrating Large Language Models with Graphical Session-Based Recommendation.

Naicheng Guo, Hongwei Cheng, Qianqiao Liang, Linxun Chen, Bing Han

CoRR, 2024

2023

Disentangled Representations Learning for Multi-target Cross-domain Recommendation.

Xiaobo Guo, Shaoshuai Li, Naicheng Guo, Jiangxia Cao, Xiaolei Liu, Qiongxu Ma, Runsheng Gan, Yunan Zhao

ACM Trans. Inf. Syst., October, 2023

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Sheng Guo, Xiaobo Guo

ACM Trans. Inf. Syst., 2023

2022

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kai-Xin Gao, Bing Han, Lin Zheng, Xiaobo Guo

CoRR, 2022

2021

HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Bing Han, Lin Zheng, Kai-Xin Gao, Xiaobo Guo

CoRR, 2021

2020

Memory Reorganization: A Symmetric Memory Network for Reorganizing Neighbors and Topics to Complete Rating Prediction.

Lin Zheng, Naicheng Guo, Jin Yu, Dazhi Jiang

IEEE Access, 2020

Sentiment-guided Sequential Recommendation.

Lin Zheng, Naicheng Guo, Weihao Chen, Jin Yu, Dazhi Jiang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020