| Unifying large language models and knowledge graphs: A roadmap S Pan, L Luo, Y Wang, C Chen, J Wang, X Wu IEEE Transactions on Knowledge and Data Engineering, 2024 | 380 | 2024 |
| Reasoning on graphs: Faithful and interpretable large language model reasoning L Luo, YF Li, G Haffari, S Pan ICLR 2024, 2023 | 69 | 2023 |
| Detecting communities from heterogeneous graphs: A context path-based graph neural network model L Luo, Y Fang, X Cao, X Zhang, W Zhang Proceedings of the 30th ACM international conference on information …, 2021 | 43 | 2021 |
| Continual learning for large language models: A survey T Wu, L Luo, YF Li, S Pan, TT Vu, G Haffari arXiv preprint arXiv:2402.01364, 2024 | 34 | 2024 |
| Deepbot: a deep neural network based approach for detecting Twitter bots L Luo, X Zhang, X Yang, W Yang IOP Conference Series: Materials Science and Engineering 719 (1), 012063, 2020 | 23 | 2020 |
| Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion L Luo, YF Li, G Haffari, S Pan The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 22 | 2023 |
| Why do semantically unrelated categories appear in the same session? A demand-aware method L Yang, L Luo, X Zhang, F Li, X Zhang, Z Jiang, S Tang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 19* | 2022 |
| Chatrule: Mining logical rules with large language models for knowledge graph reasoning L Luo, J Ju, B Xiong, YF Li, G Haffari, S Pan arXiv preprint arXiv:2309.01538, 2023 | 16 | 2023 |
| A survey on temporal knowledge graph completion: Taxonomy, progress, and prospects J Wang, B Wang, M Qiu, S Pan, B Xiong, H Liu, L Luo, T Liu, Y Hu, B Yin, ... arXiv preprint arXiv:2308.02457, 2023 | 16 | 2023 |
| SocialDial: A Benchmark for Socially-Aware Dialogue Systems H Zhan, Z Li, Y Wang, L Luo, T Feng, X Kang, Y Hua, L Qu, LK Soon, ... The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 15 | 2023 |
| A motif-based graph neural network to reciprocal recommendation for online dating L Luo, K Liu, D Peng, Y Ying, X Zhang Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 15 | 2020 |
| Graph sequential neural ode process for link prediction on dynamic and sparse graphs L Luo, G Haffari, S Pan Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 14 | 2023 |
| MAMDR: A model agnostic learning framework for multi-domain recommendation L Luo, Y Li, B Gao, S Tang, S Wang, J Li, T Zhu, J Liu, Z Li, S Pan 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3079-3092, 2023 | 13* | 2023 |
| Systematic Assessment of Factual Knowledge in Large Language Models L Luo, TT Vu, D Phung, G Haffari EMNLP 2023 Findings, 2023 | 7 | 2023 |
| Rmgn: A regional mask guided network for parser-free virtual try-on C Lin, Z Li, S Zhou, S Hu, J Zhang, L Luo, J Zhang, L Huang, Y He IJCAI 2022, 2022 | 7 | 2022 |
| Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach Z Zhao, L Luo, S Pan, QVH Nguyen, C Gong ECML-PKDD 2023, 2023 | 5 | 2023 |
| GSim: a graph neural network based relevance measure for heterogeneous graphs L Luo, Y Fang, M Lu, X Cao, X Zhang, W Zhang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12693-12707, 2023 | 4 | 2023 |
| DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating L Luo, X Zhang, X Chen, K Liu, D Peng, X Yang Neural Computing and Applications, 1-13, 2022 | 4 | 2022 |
| Correlated wasserstein autoencoder for implicit data recommendation L Yao, J Zhong, X Zhang, L Luo 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2020 | 4 | 2020 |
| NestE: modeling nested relational structures for knowledge graph reasoning B Xiong, M Nayyeri, L Luo, Z Wang, S Pan, S Staab Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9205-9213, 2024 | 3 | 2024 |
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith University在 griffith.edu.au 的电子邮件经过验证
