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2020 – today
- 2024
[c6]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: 1199-1212- [c5]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: 6257-6268 - [c4]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: 3598-3608 - [i12]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 abs/2401.14939 (2024) - [i11]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 abs/2402.07659 (2024) - [i10]Feiran Huang, Zhenghang Yang, Junyi Jiang, Yuanchen Bei, Yijie Zhang, Hao Chen:
Large Language Model Interaction Simulator for Cold-Start Item Recommendation. CoRR abs/2402.09176 (2024) - [i9]Yuanchen Bei, Sheng Zhou, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu:
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. CoRR abs/2404.16366 (2024) - [i8]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 abs/2405.17768 (2024) - [i7]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 abs/2406.04553 (2024) - [i6]Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang:
Feedback Reciprocal Graph Collaborative Filtering. CoRR abs/2408.02404 (2024) - 2023
- [c3]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: 3748-3752 - [c2]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM 2023: 11-20 - [c1]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: 528-532 - [i5]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 abs/2307.02813 (2023) - [i4]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 abs/2309.12565 (2023) - [i3]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 abs/2311.06777 (2023) - [i2]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR abs/2312.05526 (2023) - 2022
- [i1]Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang:
Flattened Graph Convolutional Networks For Recommendation. CoRR abs/2210.07769 (2022)
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