Yuanchen Bei

According to our database, Yuanchen Bei authored at least 16 papers between 2022 and 2024.

Collaborative distances:

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

2024

Graph Cross-Correlated Network for Recommendation.

Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang

CoRR, 2024

CLR-Bench: Evaluating Large Language Models in College-level Reasoning.

Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang

CoRR, 2024

Graph Neural Patching for Cold-Start Recommendations.

Hao Chen, Yu Yang, Yuanchen Bei, Zefan Wang, Yue Xu, Feiran Huang

CoRR, 2024

Better Late Than Never: Formulating and Benchmarking Recommendation Editing.

Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu

CoRR, 2024

Revisiting the Message Passing in Heterophilous Graph Neural Networks.

Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu

CoRR, 2024

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection.

Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu

CoRR, 2024

Large Language Model Interaction Simulator for Cold-Start Item Recommendation.

Feiran Huang, Zhenghang Yang, Junyi Jiang, Yuanchen Bei, Yijie Zhang, Hao Chen

CoRR, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.

Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang

Proceedings of the ACM on Web Conference 2024, 2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.

Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks.

Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Feedback Reciprocal Graph Collaborative Filtering.

Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation.

Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang

CoRR, 2023

Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering.

Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.

Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu

Proceedings of the IEEE International Conference on Data Mining, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.

Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Flattened Graph Convolutional Networks For Recommendation.

Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang

CoRR, 2022