Littérature scientifique sur le sujet « Knowledge Graph (KG) »
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Articles de revues sur le sujet "Knowledge Graph (KG)"
Hao, Wu, Jiao Menglin, Tian Guohui, Ma Qing, and Liu Guoliang. "R-KG: A Novel Method for Implementing a Robot Intelligent Service." AI 1, no. 1 (2020): 117–40. http://dx.doi.org/10.3390/ai1010006.
Texte intégralKhan, Arijit. "Knowledge Graphs Querying." ACM SIGMOD Record 52, no. 2 (2023): 18–29. http://dx.doi.org/10.1145/3615952.3615956.
Texte intégralFang, Yin, Qiang Zhang, Haihong Yang, et al. "Molecular Contrastive Learning with Chemical Element Knowledge Graph." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (2022): 3968–76. http://dx.doi.org/10.1609/aaai.v36i4.20313.
Texte intégralBai, Liting, Lin Liu, Shengli Song, and Yueshen Xu. "NCR-KG: news community recommendation with knowledge graph." CCF Transactions on Pervasive Computing and Interaction 1, no. 4 (2019): 250–59. http://dx.doi.org/10.1007/s42486-019-00020-3.
Texte intégralTong, Peihao, Qifan Zhang, and Junjie Yao. "Leveraging Domain Context for Question Answering Over Knowledge Graph." Data Science and Engineering 4, no. 4 (2019): 323–35. http://dx.doi.org/10.1007/s41019-019-00109-w.
Texte intégralSwapnil, S. Mahure. "Missing Link Prediction in Art Knowledge Graph using Representation Learning." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 13, no. 5 (2024): 30–33. https://doi.org/10.35940/ijitee.J9264.13050424.
Texte intégralTian, Xin, and Yuan Meng. "Relgraph: A Multi-Relational Graph Neural Network Framework for Knowledge Graph Reasoning Based on Relation Graph." Applied Sciences 14, no. 7 (2024): 3122. http://dx.doi.org/10.3390/app14073122.
Texte intégralKejriwal, Mayank. "Knowledge Graphs: A Practical Review of the Research Landscape." Information 13, no. 4 (2022): 161. http://dx.doi.org/10.3390/info13040161.
Texte intégralYan, Yuchen, Lihui Liu, Yikun Ban, Baoyu Jing, and Hanghang Tong. "Dynamic Knowledge Graph Alignment." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (2021): 4564–72. http://dx.doi.org/10.1609/aaai.v35i5.16585.
Texte intégralZuo, H., Y. Yin, and P. Childs. "Patent-KG: Patent Knowledge Graph Extraction for Engineering Design." Proceedings of the Design Society 2 (May 2022): 821–30. http://dx.doi.org/10.1017/pds.2022.84.
Texte intégralThèses sur le sujet "Knowledge Graph (KG)"
Schaeffer, Marion. "Towards efficient Knowledge Graph-based Retrieval Augmented Generation for conversational agents." Electronic Thesis or Diss., Normandie, 2025. http://www.theses.fr/2025NORMIR06.
Texte intégralSalehpour, Masoud. "High-performance Query Processing over Knowledge Graphs." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28569.
Texte intégralSima, Xingyu. "La gestion des connaissances dans les petites et moyennes entreprises : un cadre adapté et complet." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP047.
Texte intégralSaxena, Apoorv Umang. "Leveraging KG Embeddings for Knowledge Graph Question Answering." Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6082.
Texte intégralOjha, Prakhar. "Utilizing Worker Groups And Task Dependencies in Crowdsourcing." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4265.
Texte intégralChapitres de livres sur le sujet "Knowledge Graph (KG)"
Krause, Franz, Kabul Kurniawan, Elmar Kiesling, et al. "Leveraging Semantic Representations via Knowledge Graph Embeddings." In Artificial Intelligence in Manufacturing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46452-2_5.
Texte intégralSanou, Gaoussou, Véronique Giudicelli, Nika Abdollahi, Sofia Kossida, Konstantin Todorov, and Patrice Duroux. "IMGT-KG: A Knowledge Graph for Immunogenetics." In The Semantic Web – ISWC 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_36.
Texte intégralWu, Tianxing, Cong Gao, Guilin Qi, et al. "KG-Buddhism: The Chinese Knowledge Graph on Buddhism." In Semantic Technology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70682-5_17.
Texte intégralKwapong, Benjamin, Amartya Sen, and Kenneth K. Fletcher. "ELECTRA-KG: A Transformer-Knowledge Graph Recommender System." In Services Computing – SCC 2022. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23515-3_5.
Texte intégralMöller, Cedric. "Knowledge Graph Population with Out-of-KG Entities." In The Semantic Web: ESWC 2022 Satellite Events. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11609-4_35.
Texte intégralMeng, Jiawei, and Wen Zhang. "KG-Diffusion: An Improved Knowledge Graph Completion with Diffusion." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1809-5_1.
Texte intégralPflueger, Maximilian, David J. Tena Cucala, and Egor V. Kostylev. "GNNQ: A Neuro-Symbolic Approach to Query Answering over Incomplete Knowledge Graphs." In The Semantic Web – ISWC 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_28.
Texte intégralMotger, Quim, Xavier Franch, and Jordi Marco. "MApp-KG: Mobile App Knowledge Graph for Document-Based Feature Knowledge Generation." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61000-4_15.
Texte intégralMeyer, Lars-Peter, Claus Stadler, Johannes Frey, et al. "LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT." In Informatik aktuell. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-43705-3_8.
Texte intégralDessì, Danilo, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta, and Harald Sack. "AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62466-8_9.
Texte intégralActes de conférences sur le sujet "Knowledge Graph (KG)"
Kini, Venkataramana, Ravi Divvela, Unmesh Phadke, Narayanan Sadagopan, Fei Wang та Zhen Wen. "Trajectory Boosted Transformer Model and KG/LLM based μ-Genre for PV Offer/Content Type Arbitration". У 2024 IEEE International Conference on Knowledge Graph (ICKG). IEEE, 2024. https://doi.org/10.1109/ickg63256.2024.00015.
Texte intégralHu, Shuhao, Xin Wang, Ji Xiang, Xiaobo Guo, Lei Wang, and Jiahui Shen. "CoMuS-KG: A Collaborative Framework of Multimodal Unstructured Data and Knowledge Graph." In 2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2025. https://doi.org/10.1109/cscwd64889.2025.11033342.
Texte intégralQiao, Wanbang, Zhiying Geng, and Hongbo Liu. "KG-PEM: A Data Privacy Protection Assessment Framework Based on Knowledge Graph." In 2025 10th International Conference on Computer and Communication System (ICCCS). IEEE, 2025. https://doi.org/10.1109/icccs65393.2025.11069453.
Texte intégralXu, Yao, Shizhu He, Jiabei Chen, et al. "Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.1023.
Texte intégralChen, Hanzhu, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, and Jieping Ye. "SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.238.
Texte intégralTian, Shiyu, Yangyang Luo, Tianze Xu, et al. "KG-Adapter: Enabling Knowledge Graph Integration in Large Language Models through Parameter-Efficient Fine-Tuning." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.229.
Texte intégralLai, Xuan, Lianggui Tang, Xiuling Zhu, Liyong Xiao, Zhuo Chen, and Jiajun Yang. "KG-CQAM: knowledge graph and mind-mapping-based complex question answering for large language models." In Fifth International Conference on Control, Robotics, and Intelligent System (2024), edited by Chenguang Yang. SPIE, 2024. http://dx.doi.org/10.1117/12.3050113.
Texte intégralLi, Haotian, Congmin Xia, Youjuan Hou, Sile Hu, Jiang Quan, and Yanjun Liu. "TCMRD-KG: Design and Development of a Rheumatism Knowledge Graph Based on Ancient Chinese Literature." In 2024 IEEE International Conference on Medical Artificial Intelligence (MedAI). IEEE, 2024. https://doi.org/10.1109/medai62885.2024.00083.
Texte intégralZheng, Zaiyi, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, and Jundong Li. "KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10826107.
Texte intégralMorris, Matthew, David J. Tena Cucala, Bernardo Cuenca Grau, and Ian Horrocks. "Relational Graph Convolutional Networks Do Not Learn Sound Rules." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/84.
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