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Статті в журналах з теми "Reasoning over temporal knowledge graphs"
Mavromatis, Costas, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, and George Karypis. "TempoQR: Temporal Question Reasoning over Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (June 28, 2022): 5825–33. http://dx.doi.org/10.1609/aaai.v36i5.20526.
Повний текст джерелаSadeghian, Ali, Mohammadreza Armandpour, Anthony Colas, and Daisy Zhe Wang. "ChronoR: Rotation Based Temporal Knowledge Graph Embedding." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (May 18, 2021): 6471–79. http://dx.doi.org/10.1609/aaai.v35i7.16802.
Повний текст джерелаChen, Xiaojun, Shengbin Jia, Ling Ding, and Yang Xiang. "Reasoning over temporal knowledge graph with temporal consistency constraints." Journal of Intelligent & Fuzzy Systems 40, no. 6 (June 21, 2021): 11941–50. http://dx.doi.org/10.3233/jifs-210064.
Повний текст джерелаBai, Luyi, Wenting Yu, Mingzhuo Chen, and Xiangnan Ma. "Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learning." Applied Soft Computing 103 (May 2021): 107144. http://dx.doi.org/10.1016/j.asoc.2021.107144.
Повний текст джерелаMirtaheri, Mehrnoosh. "Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (May 18, 2021): 15724–25. http://dx.doi.org/10.1609/aaai.v35i18.17859.
Повний текст джерелаRajeshwari, T., and C. Thangamani. "Attack Impact Discovery and Recovery with Dynamic Bayesian Networks." Asian Journal of Computer Science and Technology 8, S1 (February 5, 2019): 74–79. http://dx.doi.org/10.51983/ajcst-2019.8.s1.1953.
Повний текст джерелаWang, Xiang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, and Tat-Seng Chua. "Explainable Reasoning over Knowledge Graphs for Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5329–36. http://dx.doi.org/10.1609/aaai.v33i01.33015329.
Повний текст джерелаBai, Luyi, Wenting Yu, Die Chai, Wenjun Zhao, and Mingzhuo Chen. "Temporal knowledge graphs reasoning with iterative guidance by temporal logical rules." Information Sciences 621 (April 2023): 22–35. http://dx.doi.org/10.1016/j.ins.2022.11.096.
Повний текст джерелаZhu, Wencheng, Yucheng Han, Jiwen Lu, and Jie Zhou. "Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization." IEEE Transactions on Image Processing 31 (2022): 3017–31. http://dx.doi.org/10.1109/tip.2022.3163855.
Повний текст джерелаMantle, Matthew, Sotirios Batsakis, and Grigoris Antoniou. "Large scale distributed spatio-temporal reasoning using real-world knowledge graphs." Knowledge-Based Systems 163 (January 2019): 214–26. http://dx.doi.org/10.1016/j.knosys.2018.08.035.
Повний текст джерелаКниги з теми "Reasoning over temporal knowledge graphs"
Corbett, Dan. Reasoning and unification over conceptual graphs. New York: Kluwer Academic/Plenum Publishers, 2003.
Знайти повний текст джерелаCorbett, Dan. Reasoning and Unification over Conceptual Graphs. Springer, 2003.
Знайти повний текст джерелаЧастини книг з теми "Reasoning over temporal knowledge graphs"
Corbett, Dan. "Unification, Knowledge Structures and Constraints." In Reasoning and Unification over Conceptual Graphs, 29–47. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0087-2_2.
Повний текст джерелаStepanova, Daria, Mohamed H. Gad-Elrab, and Vinh Thinh Ho. "Rule Induction and Reasoning over Knowledge Graphs." In Lecture Notes in Computer Science, 142–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00338-8_6.
Повний текст джерелаLong, Shaonan, Jinzhi Liao, Shiyu Yang, Xiang Zhao, and Xuemin Lin. "Complex Question Answering Over Temporal Knowledge Graphs." In Web Information Systems Engineering – WISE 2022, 65–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20891-1_6.
Повний текст джерелаZhang, Yiming, Yiyue Qian, Yanfang Ye, and Chuxu Zhang. "Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs." In Proceedings of the 2022 SIAM International Conference on Data Mining (SDM), 666–74. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2022. http://dx.doi.org/10.1137/1.9781611977172.75.
Повний текст джерелаXiao, Yao, Guangyou Zhou, and Jin Liu. "Modeling Temporal-Sensitive Information for Complex Question Answering over Knowledge Graphs." In Natural Language Processing and Chinese Computing, 418–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17120-8_33.
Повний текст джерелаKoner, Rajat, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, and Stephan Günnemann. "Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering." In The Semantic Web – ISWC 2021, 111–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88361-4_7.
Повний текст джерелаDavis, Ernest. "Qualitative Reasoning and Spatio-Temporal Continuity." In Advances in Geospatial Technologies, 97–146. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61692-868-1.ch003.
Повний текст джерелаSchiffel, Jeffrey A. "Organizational Semiotics Complements Knowledge Management." In Intelligent, Adaptive and Reasoning Technologies, 104–22. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-595-7.ch006.
Повний текст джерелаSchiffel, Jeffrey A. "Using Organizational Semiotics and Conceptual Graphs in a Two-Step Method for Knowledge Management Process Improvement Measurement." In Information Resources Management, 427–42. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-965-1.ch216.
Повний текст джерелаТези доповідей конференцій з теми "Reasoning over temporal knowledge graphs"
Geng, Yipeng, Yali Shao, Shanwen Zhang, and Xiaoyun He. "Multi-hop Temporal Knowledge Graph Reasoning over Few-Shot Relations with Novel Method." In 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2022. http://dx.doi.org/10.1109/iccece54139.2022.9712786.
Повний текст джерелаGarg, Sankalp, Navodita Sharma, Woojeong Jin, and Xiang Ren. "Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/386.
Повний текст джерелаGao, Yifu, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, and Dongsheng Li. "Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/284.
Повний текст джерелаSaxena, Apoorv, Soumen Chakrabarti, and Partha Talukdar. "Question Answering Over Temporal Knowledge Graphs." In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.acl-long.520.
Повний текст джерелаHuang, Zijian, Meng-Fen Chiang, and Wang-Chien Lee. "LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs." In KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3534678.3539338.
Повний текст джерелаWu, Hong, Zhe Wang, Kewen Wang, and Yi-Dong Shen. "Learning Typed Rules over Knowledge Graphs." In 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/51.
Повний текст джерелаZhao, Kangzhi, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, and Xing Xie. "Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs." In SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3397271.3401171.
Повний текст джерелаLiu, Zhibin, Zheng-Yu Niu, Hua Wu, and Haifeng Wang. "Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1187.
Повний текст джерелаHu, Zhiwei, Victor Gutierrez Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, and Jeff Z. Pan. "Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/427.
Повний текст джерелаFu, Dongqi, Liri Fang, Ross Maciejewski, Vetle I. Torvik, and Jingrui He. "Meta-Learned Metrics over Multi-Evolution Temporal Graphs." In KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3534678.3539313.
Повний текст джерелаЗвіти організацій з теми "Reasoning over temporal knowledge graphs"
Bourgaux, Camille, and Anni-Yasmin Turhan. Temporal Query Answering in DL-Lite over Inconsistent Data. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.236.
Повний текст джерелаKriegel, Francesco. Learning description logic axioms from discrete probability distributions over description graphs (Extended Version). Technische Universität Dresden, 2018. http://dx.doi.org/10.25368/2022.247.
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