| Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning Z Li, X Jin, W Li, S Guan, J Guo, H Shen, Y Wang, X Cheng SIGIR2021, 2021 | 297 | 2021 |
| Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs Z Li, X Jin, S Guan, W Li, J Guo, Y Wang, X Cheng ACL2021 main conference, 2021 | 128 | 2021 |
| Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning Z Li, S Guan, X Jin, W Peng, Y Lyu, Y Zhu, L Bai, W Li, J Guo, X Cheng ACL2022 main conference, 2022 | 107 | 2022 |
| What is Event Knowledge Graph: A Survey S Guan, X Cheng, L Bai, F Zhang, Z Li, Y Zeng, X Jin, J Guo TKDE 2022, 2022 | 81 | 2022 |
| Self-learning and embedding based entity alignment S Guan, X Jin, Y Wang, Y Jia, H Shen, Z Li, X Cheng Knowledge and Information Systems 59, 361-386, 2019 | 42 | 2019 |
| Hismatch: Historical structure matching based temporal knowledge graph reasoning Z Li, Z Hou, S Guan, X Jin, W Peng, L Bai, Y Lyu, W Li, J Guo, X Cheng EMNLP 2023 findings, 2022 | 41 | 2022 |
| Path reasoning over knowledge graph: A multi-agent and reinforcement learning based method Z Li, X Jin, S Guan, Y Wang, X Cheng 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 929-936, 2018 | 38 | 2018 |
| Retrieval-augmented code generation for universal information extraction Y Guo, Z Li, X Jin, Y Liu, Y Zeng, W Liu, X Li, P Yang, L Bai, J Guo, ... CCF International Conference on Natural Language Processing and Chinese …, 2024 | 31 | 2024 |
| Integrating Deep Event-Level and Script-Level Information for Script Event Prediction L Bai, S Guan, J Guo, Z Li, X Jin, X Cheng EMNLP2021 main conference, 2021 | 27 | 2021 |
| Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning Z Hou, X Jin, Z Li, L Bai ACL2021 findings, 2021 | 26 | 2021 |
| Semantic Structure Enhanced Event Causality Identification Z Hu, Z Li, X Jin, L Bai, S Guan, J Guo, X Cheng ACL2023 main conference, 2023 | 23 | 2023 |
| KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction Z Li, Y Zeng, Y Zuo, W Ren, W Liu, M Su, Y Guo, Y Liu, X Li, Z Hu, L Bai, ... ACL 2024, 2024 | 15 | 2024 |
| Unlocking the Power of Large Language Models for Entity Alignment X Jiang, Y Shen, Z Shi, C Xu, W Li, Z Li, J Guo, H Shen, Y Wang ACL 2024, 2024 | 10 | 2024 |
| Rich event modeling for script event prediction L Bai, S Guan, Z Li, J Guo, X Jin, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12553 …, 2023 | 8 | 2023 |
| ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction Z Hu, Z Li, D Xu, L Bai, C Jin, X Jin, J Guo, X Cheng arXiv preprint arXiv:2309.12892, 2023 | 4 | 2023 |
| Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method X Jiang, C Xu, Y Shen, F Su, Y Wang, F Sun, Z Li, H Shen The Web Conference 2024, 2023 | 4 | 2023 |
| Self-Improvement Programming for Temporal Knowledge Graph Question Answering Z Chen, Z Zhang, Z Li, F Wang, Y Zeng, X Jin, Y Xu COLING 2024, 2024 | 3 | 2024 |
| Temporal Knowledge Graph Reasoning Based on N-tuple Modeling Z Hou, X Jin, Z Li, L Bai, S Guan, Y Zeng, J Guo, X Cheng Findings of the Association for Computational Linguistics: EMNLP 2023, 1090-1100, 2023 | 3 | 2023 |
| An in-context schema understanding method for knowledge base question answering Y Liu, Z Li, X Jin, Y Guo, L Bai, S Guan, J Guo, X Cheng International Conference on Knowledge Science, Engineering and Management …, 2024 | 2 | 2024 |
| Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets X Jiang, C Xu, Y Shen, Y Wang, F Su, Z Shi, F Sun, Z Li, J Guo, H Shen Proceedings of the ACM on Web Conference 2024, 2325-2336, 2024 | 2 | 2024 |
Xiaolong Jin (靳小龙)Professor, Institute of Computing Technology, Chinese Academy of SciencesΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ict.ac.cn
