| 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 | 155 | 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 | 100 | 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 | 74 | 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 | 47 | 2022 |
| Homophily-oriented heterogeneous graph rewiring J Guo, L Du, W Bi, Q Fu, X Ma, X Chen, S Han, D Zhang, Y Zhang WWW'23, 511-522, 2023 | 39 | 2023 |
| A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic … L Fan, L Wang, X Wang, H Zhang, Y Zhu, J Guo, W Gao, H Geng, Q Chen, ... BMC genomics 19, 1-12, 2018 | 33 | 2018 |
| 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 | 30 | 2020 |
| Public philanthropy logistics platform based on blockchain technology for social welfare maximization J Li, F Qu, X Tu, T Fu, J Guo, J Zhu 2018 8th International Conference on Logistics, Informatics and Service …, 2018 | 24 | 2018 |
| 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 SIGKDD'23, 2023 | 18 | 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 | 9 | 2022 |
| 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 | 6 | 2023 |
| AIGB: Generative Auto-bidding via Conditional Diffusion Modeling J Guo, Y Huo, Z Zhang, T Wang, C Yu, J Xu, Y Zhang, B Zheng SIGKDD'24, 2024 | 5* | 2024 |
| Chain of ideas: Revolutionizing research via novel idea development with llm agents L Li, W Xu, J Guo, R Zhao, X Li, Y Yuan, B Zhang, Y Jiang, Y Xin, R Dang, ... arXiv preprint arXiv:2410.13185, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| A Diffusion Model with User Preference Guidance for Recommendation B Peng, X Bo, J Guo, Y Zhang International Conference on Database Systems for Advanced Applications, 228-244, 2024 | | 2024 |
| Boosting Disfluency Detection with Large Language Model as Disfluency Generator Z Cheng, J Guo, H Sun, Y Zhang ICME'24, 2024 | | 2024 |
| Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining P Zhang*, J Guo*, C Li, L Kang, J Kim, J Xu, X Zhang, Y Zhang, H Wang, ... ACM Transactions on Intelligent Systems and Technology, 2024 | | 2024 |
Lun Du (杜 仑)Ant Researchantgroup.com의 이메일 확인됨