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Chen Gao
Chen Gao
BNRist, Tsinghua University
Bestätigte E-Mail-Adresse bei tsinghua.edu.cn - Startseite
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Zitiert von
Zitiert von
Jahr
A survey of graph neural networks for recommender systems: Challenges, methods, and directions
C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ...
ACM Transactions on Recommender Systems 1 (1), 1-51, 2023
516*2023
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
Y Zheng, C Gao, X Li, X He, D Jin, Y Li
WWW 2021, 2021
3742021
Sequential Recommendation with Graph Neural Networks
J Chang, C Gao, Y Zheng, Y Hui, Y Niu, Y Song, D Jin, Y Li
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
3702021
Multi-behavior Recommendation with Graph Convolutional Networks
B Jin, C Gao, X He, D Jin, Y Li
SIGIR, 2020
3692020
Graph neural networks for recommender system
C Gao, X Wang, X He, Y Li
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
2502022
Neural Multi-Task Recommendation from Multi-Behavior Data
C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, D Jin
IEEE 35th International Conference on Data Engineering, 2019
2372019
S3: Social-network Simulation System with Large Language Model-Empowered Agents
C Gao, X Lan, Z Lu, J Mao, J Piao, H Wang, D Jin, Y Li
arXiv preprint arXiv:2307.14984, 2023
143*2023
Cross-domain Recommendation Without Sharing User-relevant Data
C Gao, X Chen, F Feng, K Zhao, X He, Y Li, D Jin
The World Wide Web Conference, 491-502, 2019
1362019
DGCN: Diversified Recommendation with Graph Convolutional Networks
Y Zheng, C Gao, L Chen, D Jin, Y Li
WWW 2021, 2021
1332021
Bundle Recommendation with Graph Convolutional Networks
J Chang, C Gao, X He, D Jin, Y Li
SIGIR, 2020
1282020
Learning to recommend with multiple cascading behaviors
C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, L Yao, Y Song, D Jin
IEEE transactions on knowledge and data engineering 33 (6), 2588-2601, 2019
1092019
Causal inference in recommender systems: A survey and future directions
C Gao, Y Zheng, W Wang, F Feng, X He, Y Li
ACM Transactions on Information Systems 42 (4), 1-32, 2024
1072024
Disentangling Long and Short-Term Interests for Recommendation
Y Zheng, C Gao, J Chang, Y Niu, Y Song, D Jin, Y Li
Proceedings of the ACM Web Conference 2022, 2256-2267, 2022
1042022
Learnable Embedding Sizes for Recommender Systems
S Liu, C Gao, Y Chen, D Jin, Y Li
International Conference on Learning Representations (ICLR) 2021, 2021
902021
Price-aware Recommendation with Graph Convolutional Networks
Y Zheng, C Gao, X He, Y Li, D Jin
IEEE International Conference on Data Engineering (ICDE), 2020
872020
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
Y Li, C Gao, H Luo, D Jin, Y Li
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
762022
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
N Li, C Gao, M Li, Y Li, Q Liao
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
71*2024
Large language models empowered agent-based modeling and simulation: A survey and perspectives
C Gao, X Lan, N Li, Y Yuan, J Ding, Z Zhou, F Xu, Y Li
Humanities and Social Sciences Communications 11 (1), 1-24, 2024
69*2024
DPLCF: Differentially Private Local Collaborative Filtering
C Gao, C Huang, D Lin, D Jin, Y Li
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
642020
De-anonymization of mobility trajectories: Dissecting the gaps between theory and practice
H Wang, C Gao, Y Li, G Wang, D Jin, J Sun
The 25th Annual Network & Distributed System Security Symposium (NDSS’18), 2018
622018
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