Yuanchen Bei

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

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Publications

Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. CoRR (2024)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE (2024)
Feiran Huang, Zhenghang Yang, Junyi Jiang, Yuanchen Bei, Yijie Zhang, Hao Chen
Large Language Model Interaction Simulator for Cold-Start Item Recommendation. CoRR (2024)
Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR (2024)
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. KDD (2024)
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. WWW (2024)
Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu
Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR (2024)
Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu
Revisiting the Message Passing in Heterophilous Graph Neural Networks. CoRR (2024)
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. CoRR (2024)
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR (2023)
Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang
Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. CoRR (2023)
Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering. ICDM (Workshops) (2023)
Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering. CoRR (2023)
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM (2023)
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR (2023)
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. CIKM (2023)
Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang
Flattened Graph Convolutional Networks For Recommendation. CoRR (2022)