Jiayan Guo

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Lun Du (杜仑)Senior Researcher, Microsoft ResearchVerified email at microsoft.com
Xing Xie 谢幸Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF FellowVerified email at microsoft.com
Peiyan, ZHANGHong Kong University of Science and TechnologyVerified email at cse.ust.hk
Chaozhuo LiMicrosoft Research AisaVerified email at microsoft.com
Hengyu LiuAalborg UniversityVerified email at cs.aau.dk
Dongmei ZhangMicrosoft ResearchVerified email at microsoft.com
Shi HanMicrosoft Research AsiaVerified email at microsoft.com
Xiaojun MaMicrosoftVerified email at microsoft.com
Haohan WangSchool of Information Sciences, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Yuan ZhangPhD, Peking UniversityVerified email at pku.edu.cn
Yujing WangPeking University, Microsoft ResearchVerified email at microsoft.com
Xiangchen SongCarnegie Mellon UniversityVerified email at cmu.edu
Shangyang LiPeking UniversityVerified email at pku.edu.cn
Qiang FuMicrosoftVerified email at microsoft.com
Meiqi ChenPeking UniversityVerified email at stu.pku.edu.cn
Sunghun KimAssociate Professor of Computer Science, The Hong Kong University of Science and TechnologyVerified email at cse.ust.hk

Jiayan Guo

Peking University

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deep learning on graphs recommender system Large Language Models


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GPT4Graph: Can Large Language Models Understand Graph Structured Data? An Empirical Evaluation and Benchmarking J Guo, L Du, H Liu, M Zhou, X He, S Han arXiv preprint arXiv:2305.15066, 2023	62	2023
Efficiently leveraging multi-level user intent for session-based recommendation via atten-mixer network P Zhang, J Guo, C Li, Y Xie, JB Kim, Y Zhang, X Xie, H Wang, S Kim WSDM'23, 168-176, 2023	48	2023
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation J Guo, Y Yang, X Song, Y Zhang, Y Wang, J Bai, Y Zhang WSDM'22, 343-352, 2022	44	2022
Evolutionary preference learning via graph nested gru ode for session-based recommendation J Guo, P Zhang, C Li, X Xie, Y Zhang, S Kim CIKM'22, 624-634, 2022	28	2022
Graph neural network based anomaly detection in dynamic networks 郭嘉琰，李荣华，张岩，王国仁 Journal of Software 31 (3), 748-762, 2020	21	2020
Homophily-oriented heterogeneous graph rewiring J Guo, L Du, W Bi, Q Fu, X Ma, X Chen, S Han, D Zhang, Y Zhang Proceedings of the ACM Web Conference 2023, 511-522, 2023	16	2023
Learning robust representation through graph adversarial contrastive learning J Guo, S Li, Y Zhao, Y Zhang International Conference on Database Systems for Advanced Applications, 682-697, 2022	8	2022
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering J Guo, L Du, X Chen, X Ma, Q Fu, S Han, D Zhang, Y Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2023	5	2023
An Information Theoretic Perspective for Heterogeneous Subgraph Federated Learning J Guo, S Li, Y Zhang International Conference on Database Systems for Advanced Applications, 745-760, 2023	3	2023
Hierarchical Hypergraph Recurrent Attention Network for Temporal Knowledge Graph Reasoning J Guo, M Chen, Y Zhang, J Huang, Z Liu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023	2	2023
Boosting Disfluency Detection with Large Language Model as Disfluency Generator Z Cheng, J Guo, H Sun, Y Zhang arXiv preprint arXiv:2403.08229, 2024		2024

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