Macro Graph Neural Networks for Online Billion-Scale Recommender Systems H Chen, Y Bei, Q Shen, Y Xu, S Zhou, W Huang, F Huang, S Wang, ... WWW 2024, 2024 | 6 | 2024 |
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction Y Bei, H Chen, S Chen, X Huang, S Zhou, F Huang CIKM 2023, 3748-3752, 2023 | 5 | 2023 |
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection Y Bei, S Zhou, Q Tan, H Xu, H Chen, Z Li, J Bu ICDM 2023, 11-20, 2023 | 4 | 2023 |
Flattened Graph Convolutional Networks For Recommendation Y Xu, H Chen, Z Deng, Y Bei, F Huang DLP@KDD 2022, 2022 | 4 | 2022 |
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering Y Zhang, Y Bei, S Yang, H Chen, Z Li, L Chen, F Huang IWLKG@ICDM 2023, 528-532, 2023 | 3 | 2023 |
Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation H Chi, H Xu, M Liu, Y Bei, S Zhou, D Liu, M Zhang KDAH@CIKM 2023, 2023 | 1 | 2023 |
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Y Bei, S Zhou, J Shi, Y Ma, H Wang, J Bu arXiv preprint arXiv:2404.16366, 2024 | | 2024 |
Large Language Model Interaction Simulator for Cold-Start Item Recommendation F Huang, Z Yang, J Jiang, Y Bei, Y Zhang, H Chen arXiv preprint arXiv:2402.09176, 2024 | | 2024 |
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks Y Zhang, Y Bei, H Chen, Q Shen, Z Yuan, H Gong, S Wang, F Huang, ... KDD 2024, 2024 | | 2024 |
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Y Bei, H Xu, S Zhou, H Chi, M Zhang, Z Li, J Bu ICDE 2024, 2023 | | 2023 |
Text sentiment analysis method based on multi-level graph pooling F Huang, G Liu, Y Bei US Patent 11,687,728, 2023 | | 2023 |
Social recommendation method based on multi-feature heterogeneous graph neural networks F Huang, LIU Zhiquan, Y Bei US Patent 11,631,147, 2023 | | 2023 |