Добірка наукової літератури з теми "Knowledge Graphs (KG)"
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Статті в журналах з теми "Knowledge Graphs (KG)"
Khan, Arijit. "Knowledge Graphs Querying." ACM SIGMOD Record 52, no. 2 (August 10, 2023): 18–29. http://dx.doi.org/10.1145/3615952.3615956.
Повний текст джерелаKejriwal, Mayank. "Knowledge Graphs: A Practical Review of the Research Landscape." Information 13, no. 4 (March 23, 2022): 161. http://dx.doi.org/10.3390/info13040161.
Повний текст джерелаYang, Xu, Ziyi Huan, Yisong Zhai, and Ting Lin. "Research of Personalized Recommendation Technology Based on Knowledge Graphs." Applied Sciences 11, no. 15 (July 31, 2021): 7104. http://dx.doi.org/10.3390/app11157104.
Повний текст джерелаCao, Keyan, and Chuang Zheng. "TBRm: A Time Representation Method for Industrial Knowledge Graph." Applied Sciences 12, no. 22 (November 8, 2022): 11316. http://dx.doi.org/10.3390/app122211316.
Повний текст джерелаKrinkin, Kirill, Alexander Ivanovich Vodyaho, Igor Kulikov, and Nataly Zhukova. "Deductive Synthesis of Networks Hierarchical Knowledge Graphs." International Journal of Embedded and Real-Time Communication Systems 12, no. 3 (July 2021): 32–48. http://dx.doi.org/10.4018/ijertcs.2021070103.
Повний текст джерелаTong, Peihao, Qifan Zhang, and Junjie Yao. "Leveraging Domain Context for Question Answering Over Knowledge Graph." Data Science and Engineering 4, no. 4 (November 4, 2019): 323–35. http://dx.doi.org/10.1007/s41019-019-00109-w.
Повний текст джерелаHao, 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 (March 2, 2020): 117–40. http://dx.doi.org/10.3390/ai1010006.
Повний текст джерелаChen, Xuelu, Muhao Chen, Weijia Shi, Yizhou Sun, and Carlo Zaniolo. "Embedding Uncertain Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3363–70. http://dx.doi.org/10.1609/aaai.v33i01.33013363.
Повний текст джерелаMonka, Sebastian, Lavdim Halilaj, and Achim Rettinger. "A survey on visual transfer learning using knowledge graphs." Semantic Web 13, no. 3 (April 6, 2022): 477–510. http://dx.doi.org/10.3233/sw-212959.
Повний текст джерелаLi, Tongxin, Weiping Wang, Xiaobo Li, Tao Wang, Xin Zhou, and Meigen Huang. "Embedding Uncertain Temporal Knowledge Graphs." Mathematics 11, no. 3 (February 3, 2023): 775. http://dx.doi.org/10.3390/math11030775.
Повний текст джерелаДисертації з теми "Knowledge Graphs (KG)"
Salehpour, Masoud. "High-performance Query Processing over Knowledge Graphs." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28569.
Повний текст джерелаOjha, Prakhar. "Utilizing Worker Groups And Task Dependencies in Crowdsourcing." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4265.
Повний текст джерелаSaxena, Apoorv Umang. "Leveraging KG Embeddings for Knowledge Graph Question Answering." Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6082.
Повний текст джерелаЧастини книг з теми "Knowledge Graphs (KG)"
Pflueger, 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, 481–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_28.
Повний текст джерелаRanganathan, Varun, and Natarajan Subramanyam. "SDE-KG: A Stochastic Dynamic Environment for Knowledge Graphs." In Machine Learning and Knowledge Discovery in Databases, 483–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43823-4_39.
Повний текст джерелаGhosh, Devanshika, and Enayat Rajabi. "KG-Visual: A Tool for Visualizing RDF Knowledge Graphs." In Metadata and Semantic Research, 126–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98876-0_11.
Повний текст джерелаSardina, Jeffrey, Callie Sardina, John D. Kelleher, and Declan O’Sullivan. "Analysis of Attention Mechanisms in Box-Embedding Systems." In Communications in Computer and Information Science, 68–80. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_6.
Повний текст джерелаSanou, 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, 628–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_36.
Повний текст джерелаWu, Tianxing, Cong Gao, Guilin Qi, Lei Zhang, Chuanqi Dong, He Liu, and Du Zhang. "KG-Buddhism: The Chinese Knowledge Graph on Buddhism." In Semantic Technology, 259–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70682-5_17.
Повний текст джерелаMöller, Cedric. "Knowledge Graph Population with Out-of-KG Entities." In The Semantic Web: ESWC 2022 Satellite Events, 199–214. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11609-4_35.
Повний текст джерелаKwapong, Benjamin, Amartya Sen, and Kenneth K. Fletcher. "ELECTRA-KG: A Transformer-Knowledge Graph Recommender System." In Services Computing – SCC 2022, 56–70. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23515-3_5.
Повний текст джерелаDessì, 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, 127–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62466-8_9.
Повний текст джерелаZárate, Marcos, Carlos Buckle, Renato Mazzanti, Mirtha Lewis, Pablo Fillottrani, and Claudio Delrieux. "Harmonizing Big Data with a Knowledge Graph: OceanGraph KG Uses Case." In Communications in Computer and Information Science, 81–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61218-4_6.
Повний текст джерелаТези доповідей конференцій з теми "Knowledge Graphs (KG)"
Chen, Mingyang, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, and Huajun Chen. "Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting." 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.2022/273.
Повний текст джерелаWei, Xing, and Jiangjiang Liu. "Effects of Nonlinear Functions on Knowledge Graph Convolutional Networks for Recommender Systems with Yelp Knowledge Graph." In 11th International Conference on Computer Science and Information Technology (CCSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110715.
Повний текст джерелаWu, Yuting, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, and Dongyan Zhao. "Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/733.
Повний текст джерелаLi, Shuxin, Zixian Huang, Gong Cheng, Evgeny Kharlamov, and Kalpa Gunaratna. "Enriching Documents with Compact, Representative, Relevant Knowledge Graphs." 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.2020/242.
Повний текст джерелаXia, Feng, Francesco Osborne, and Shuo Yu. "Session details: Theme: Artificial intelligence and agents: KG - knowledge graphs track." In SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3535433.
Повний текст джерелаHuang, Yu-Xuan, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, and Zhi-Hua Zhou. "Enabling Abductive Learning to Exploit Knowledge Graph." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/427.
Повний текст джерелаWu, Zhanglin, Min Zhang, Ming Zhu, Yinglu Li, Ting Zhu, Hao Yang, Song Peng, and Ying Qin. "KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation." In IJCKG 2022: 11th International Joint Conference On Knowledge Graphs. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3579051.3579065.
Повний текст джерелаZhou, Dongzhuoran, Baifan Zhou, Jieying Chen, Gong Cheng, Egor Kostylev, and Evgeny Kharlamov. "Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding." In IJCKG'21: The 10th International Joint Conference on Knowledge Graphs. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3502223.3502243.
Повний текст джерелаOsama, Mayar, and Mervat Abu Elkheir. "Can Incremental Learning help with KG Completion?" In 13th International Conference on Computer Science, Engineering and Applications (CCSEA 2023). Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130510.
Повний текст джерелаShahinmoghadam, Mehrzad Shahinmoghadam, Ali Motamedi, and Mohammad Mostafa Soltani. "Leveraging Textual Information for Knowledge Graph-oriented Machine Learning: A Case Study in the Construction Industry." In The 29th EG-ICE International Workshop on Intelligent Computing in Engineering. EG-ICE, 2022. http://dx.doi.org/10.7146/aul.455.c216.
Повний текст джерелаЗвіти організацій з теми "Knowledge Graphs (KG)"
Law, Edward, Samuel Gan-Mor, Hazel Wetzstein, and Dan Eisikowitch. Electrostatic Processes Underlying Natural and Mechanized Transfer of Pollen. United States Department of Agriculture, May 1998. http://dx.doi.org/10.32747/1998.7613035.bard.
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