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Yuanchen Bei
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 17
Top Topics
Singly Connected
Total Order
Neural Network
Tree Reweighted
Top Venues
CoRR
KDD
ICDM
CIKM
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Publications
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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)