Artykuły w czasopismach na temat „Knowledge Graph (KG)”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Knowledge Graph (KG)”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Hao, Wu, Jiao Menglin, Tian Guohui, Ma Qing i Liu Guoliang. "R-KG: A Novel Method for Implementing a Robot Intelligent Service". AI 1, nr 1 (2.03.2020): 117–40. http://dx.doi.org/10.3390/ai1010006.
Pełny tekst źródłaKhan, Arijit. "Knowledge Graphs Querying". ACM SIGMOD Record 52, nr 2 (10.08.2023): 18–29. http://dx.doi.org/10.1145/3615952.3615956.
Pełny tekst źródłaBai, Liting, Lin Liu, Shengli Song i Yueshen Xu. "NCR-KG: news community recommendation with knowledge graph". CCF Transactions on Pervasive Computing and Interaction 1, nr 4 (11.11.2019): 250–59. http://dx.doi.org/10.1007/s42486-019-00020-3.
Pełny tekst źródłaFang, Yin, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan i Huajun Chen. "Molecular Contrastive Learning with Chemical Element Knowledge Graph". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 4 (28.06.2022): 3968–76. http://dx.doi.org/10.1609/aaai.v36i4.20313.
Pełny tekst źródłaTong, Peihao, Qifan Zhang i Junjie Yao. "Leveraging Domain Context for Question Answering Over Knowledge Graph". Data Science and Engineering 4, nr 4 (4.11.2019): 323–35. http://dx.doi.org/10.1007/s41019-019-00109-w.
Pełny tekst źródłaTian, Xin, i Yuan Meng. "Relgraph: A Multi-Relational Graph Neural Network Framework for Knowledge Graph Reasoning Based on Relation Graph". Applied Sciences 14, nr 7 (8.04.2024): 3122. http://dx.doi.org/10.3390/app14073122.
Pełny tekst źródłaYan, Yuchen, Lihui Liu, Yikun Ban, Baoyu Jing i Hanghang Tong. "Dynamic Knowledge Graph Alignment". Proceedings of the AAAI Conference on Artificial Intelligence 35, nr 5 (18.05.2021): 4564–72. http://dx.doi.org/10.1609/aaai.v35i5.16585.
Pełny tekst źródłaKejriwal, Mayank. "Knowledge Graphs: A Practical Review of the Research Landscape". Information 13, nr 4 (23.03.2022): 161. http://dx.doi.org/10.3390/info13040161.
Pełny tekst źródłaZuo, H., Y. Yin i P. Childs. "Patent-KG: Patent Knowledge Graph Extraction for Engineering Design". Proceedings of the Design Society 2 (maj 2022): 821–30. http://dx.doi.org/10.1017/pds.2022.84.
Pełny tekst źródłaBellomarini, Luigi, Marco Benedetti, Andrea Gentili, Davide Magnanimi i Emanuel Sallinger. "KG-Roar: Interactive Datalog-Based Reasoning on Virtual Knowledge Graphs". Proceedings of the VLDB Endowment 16, nr 12 (sierpień 2023): 4014–17. http://dx.doi.org/10.14778/3611540.3611609.
Pełny tekst źródłaZhang, Peng, Yi Bu, Peng Jiang, Xiaowen Shi, Bing Lun, Chongyan Chen, Arida Ferti Syafiandini, Ying Ding i Min Song. "Toward a Coronavirus Knowledge Graph". Genes 12, nr 7 (29.06.2021): 998. http://dx.doi.org/10.3390/genes12070998.
Pełny tekst źródłaLiu, Ye, Yao Wan, Lifang He, Hao Peng i Philip S. Yu. "KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning". Proceedings of the AAAI Conference on Artificial Intelligence 35, nr 7 (18.05.2021): 6418–25. http://dx.doi.org/10.1609/aaai.v35i7.16796.
Pełny tekst źródłaMonka, Sebastian, Lavdim Halilaj i Achim Rettinger. "A survey on visual transfer learning using knowledge graphs". Semantic Web 13, nr 3 (6.04.2022): 477–510. http://dx.doi.org/10.3233/sw-212959.
Pełny tekst źródłaWang, Yu, Nedim Lipka, Ryan A. Rossi, Alexa Siu, Ruiyi Zhang i Tyler Derr. "Knowledge Graph Prompting for Multi-Document Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 17 (24.03.2024): 19206–14. http://dx.doi.org/10.1609/aaai.v38i17.29889.
Pełny tekst źródłaCao, Keyan, i Chuang Zheng. "TBRm: A Time Representation Method for Industrial Knowledge Graph". Applied Sciences 12, nr 22 (8.11.2022): 11316. http://dx.doi.org/10.3390/app122211316.
Pełny tekst źródłaWang, Meihong, Linling Qiu i Xiaoli Wang. "A Survey on Knowledge Graph Embeddings for Link Prediction". Symmetry 13, nr 3 (16.03.2021): 485. http://dx.doi.org/10.3390/sym13030485.
Pełny tekst źródłaYang, Zhenyu, Lei Wu, Peian Wen i Peng Chen. "Visual Question Answering reasoning with external knowledge based on bimodal graph neural network". Electronic Research Archive 31, nr 4 (2023): 1948–65. http://dx.doi.org/10.3934/era.2023100.
Pełny tekst źródłaYang, Tong, Yifei Wang, Long Sha, Jan Engelbrecht i Pengyu Hong. "Knowledgebra: An Algebraic Learning Framework for Knowledge Graph". Machine Learning and Knowledge Extraction 4, nr 2 (5.05.2022): 432–45. http://dx.doi.org/10.3390/make4020019.
Pełny tekst źródłaZhang, Chuxu, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li i Nitesh V. Chawla. "Few-Shot Knowledge Graph Completion". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 03 (3.04.2020): 3041–48. http://dx.doi.org/10.1609/aaai.v34i03.5698.
Pełny tekst źródłaGoel, Rishab, Seyed Mehran Kazemi, Marcus Brubaker i Pascal Poupart. "Diachronic Embedding for Temporal Knowledge Graph Completion". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 04 (3.04.2020): 3988–95. http://dx.doi.org/10.1609/aaai.v34i04.5815.
Pełny tekst źródłaGarifo, Giovanni, Giuseppe Futia, Antonio Vetrò i Juan Carlos De Martin. "The Geranium Platform: A KG-Based System for Academic Publications". Information 12, nr 9 (8.09.2021): 366. http://dx.doi.org/10.3390/info12090366.
Pełny tekst źródłaShi, Xiujin, Jun Hu, Naiwen Sun i Shoujian Yu. "TrEKBQA:Traversing Knowledge Graph Embedding for Multi-hop Knowledge Base Question Answering". Journal of Physics: Conference Series 2424, nr 1 (1.01.2023): 012027. http://dx.doi.org/10.1088/1742-6596/2424/1/012027.
Pełny tekst źródłaLiu, Rui, Rong Fu, Kang Xu, Xuanzhe Shi i Xiaoning Ren. "A Review of Knowledge Graph-Based Reasoning Technology in the Operation of Power Systems". Applied Sciences 13, nr 7 (29.03.2023): 4357. http://dx.doi.org/10.3390/app13074357.
Pełny tekst źródłaGao, Zhenxiang, Pingjian Ding i Rong Xu. "KG-Predict: A knowledge graph computational framework for drug repurposing". Journal of Biomedical Informatics 132 (sierpień 2022): 104133. http://dx.doi.org/10.1016/j.jbi.2022.104133.
Pełny tekst źródłaYuan, Xu, Jiaxi Chen, Yingbo Wang, Anni Chen, Yiou Huang, Wenhong Zhao i Shuo Yu. "Semantic-Enhanced Knowledge Graph Completion". Mathematics 12, nr 3 (31.01.2024): 450. http://dx.doi.org/10.3390/math12030450.
Pełny tekst źródłaGu, Tianlong, Haohong Liang, Chenzhong Bin i Liang Chang. "Combining user-end and item-end knowledge graph learning for personalized recommendation". Journal of Intelligent & Fuzzy Systems 40, nr 5 (22.04.2021): 9213–25. http://dx.doi.org/10.3233/jifs-201635.
Pełny tekst źródłaYang, Xu, Ziyi Huan, Yisong Zhai i Ting Lin. "Research of Personalized Recommendation Technology Based on Knowledge Graphs". Applied Sciences 11, nr 15 (31.07.2021): 7104. http://dx.doi.org/10.3390/app11157104.
Pełny tekst źródłaZhu, Yueqin, Wenwen Zhou, Yang Xu, Ji Liu i Yongjie Tan. "Intelligent Learning for Knowledge Graph towards Geological Data". Scientific Programming 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/5072427.
Pełny tekst źródłaZhao, Ruilin, Feng Zhao, Liang Hu i Guandong Xu. "Graph Reasoning Transformers for Knowledge-Aware Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 17 (24.03.2024): 19652–60. http://dx.doi.org/10.1609/aaai.v38i17.29938.
Pełny tekst źródłaToroghi, Armin, i Scott Sanner. "Bayesian Inference with Complex Knowledge Graph Evidence". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 18 (24.03.2024): 20550–58. http://dx.doi.org/10.1609/aaai.v38i18.30040.
Pełny tekst źródłaChen, Kai, Guohua Shen, Zhiqiu Huang i Haijuan Wang. "Improved Entity Linking for Simple Question Answering Over Knowledge Graph". International Journal of Software Engineering and Knowledge Engineering 31, nr 01 (styczeń 2021): 55–80. http://dx.doi.org/10.1142/s0218194021400039.
Pełny tekst źródłaCheng, Siyuan, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu i Huajun Chen. "Editing Language Model-Based Knowledge Graph Embeddings". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 16 (24.03.2024): 17835–43. http://dx.doi.org/10.1609/aaai.v38i16.29737.
Pełny tekst źródłaYu, Donghan, Chenguang Zhu, Yiming Yang i Michael Zeng. "JAKET: Joint Pre-training of Knowledge Graph and Language Understanding". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 10 (28.06.2022): 11630–38. http://dx.doi.org/10.1609/aaai.v36i10.21417.
Pełny tekst źródłaMorton, Kenneth, Patrick Wang, Chris Bizon, Steven Cox, James Balhoff, Yaphet Kebede, Karamarie Fecho i Alexander Tropsha. "ROBOKOP: an abstraction layer and user interface for knowledge graphs to support question answering". Bioinformatics 35, nr 24 (13.08.2019): 5382–84. http://dx.doi.org/10.1093/bioinformatics/btz604.
Pełny tekst źródłaDebruyne, Christophe, Gary Munnelly, Lynn Kilgallon, Declan O’Sullivan i Peter Crooks. "Creating a Knowledge Graph for Ireland’s Lost History: Knowledge Engineering and Curation in the Beyond 2022 Project". Journal on Computing and Cultural Heritage 15, nr 2 (30.06.2022): 1–25. http://dx.doi.org/10.1145/3474829.
Pełny tekst źródłaLiu, Xiangyu, Yang Liu i Wei Hu. "Knowledge Graph Error Detection with Contrastive Confidence Adaption". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 8 (24.03.2024): 8824–31. http://dx.doi.org/10.1609/aaai.v38i8.28729.
Pełny tekst źródłaGovindapillai, Sini, Lay-Ki Soon i Su-Cheng Haw. "Resource Description Framework reification for trustworthiness in knowledge graphs". F1000Research 10 (2.09.2021): 881. http://dx.doi.org/10.12688/f1000research.72843.1.
Pełny tekst źródłaSchwabe, Tim, i Maribel Acosta. "Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks". Proceedings of the ACM on Management of Data 2, nr 1 (12.03.2024): 1–26. http://dx.doi.org/10.1145/3639299.
Pełny tekst źródłaZeng, Yiping, i Shumin Liu. "Research on recommendation algorithm of Graph attention Network based on Knowledge graph". Journal of Physics: Conference Series 2113, nr 1 (1.11.2021): 012085. http://dx.doi.org/10.1088/1742-6596/2113/1/012085.
Pełny tekst źródłaZhang, Zhenyu, Lei Zhang, Dingqi Yang i Liu Yang. "KRAN: Knowledge Refining Attention Network for Recommendation". ACM Transactions on Knowledge Discovery from Data 16, nr 2 (30.04.2022): 1–20. http://dx.doi.org/10.1145/3470783.
Pełny tekst źródłaYu, Guangya, Qi Ye i Tong Ruan. "Enhancing Error Detection on Medical Knowledge Graphs via Intrinsic Label". Bioengineering 11, nr 3 (27.02.2024): 225. http://dx.doi.org/10.3390/bioengineering11030225.
Pełny tekst źródłaSakong, Darnbi, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Jun Jo i Quoc Viet Hung Nguyen. "Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment". International Journal of Intelligent Systems 2023 (2.12.2023): 1–17. http://dx.doi.org/10.1155/2023/5494961.
Pełny tekst źródłaTan, Fiona Anting, Debdeep Paul, Sahim Yamaura, Miura Koji i See-Kiong Ng. "Constructing and Interpreting Causal Knowledge Graphs from News". Proceedings of the AAAI Symposium Series 1, nr 1 (3.10.2023): 52–59. http://dx.doi.org/10.1609/aaaiss.v1i1.27476.
Pełny tekst źródłaWang, Tianbin, Ruiyang Huang, Huansha Wang, Hongxin Zhi i Hongji Liu. "Multi-Hop Knowledge Graph Question Answer Method Based on Relation Knowledge Enhancement". Electronics 12, nr 8 (18.04.2023): 1905. http://dx.doi.org/10.3390/electronics12081905.
Pełny tekst źródłaYang Deng, Yang Deng, Bangchao Wang Yang Deng, Zhongyuan Hua Bangchao Wang, Yong Xiao Zhongyuan Hua i Xingfu Li Yong Xiao. "A Knowledge Graph Construction Method for Software Project Based on CAJP". 網際網路技術學刊 24, nr 6 (listopad 2023): 1229–39. http://dx.doi.org/10.53106/160792642023112406006.
Pełny tekst źródłaKrinkin, Kirill, Alexander Ivanovich Vodyaho, Igor Kulikov i Nataly Zhukova. "Deductive Synthesis of Networks Hierarchical Knowledge Graphs". International Journal of Embedded and Real-Time Communication Systems 12, nr 3 (lipiec 2021): 32–48. http://dx.doi.org/10.4018/ijertcs.2021070103.
Pełny tekst źródłaYue, Hongwei, Hanhui Lin, Yingying Jin, Hui Zhang i Ken Cai. "Opening Knowledge Graph Model Building of Artificial Intelligence Curriculum". International Journal of Emerging Technologies in Learning (iJET) 17, nr 14 (26.07.2022): 64–77. http://dx.doi.org/10.3991/ijet.v17i14.32613.
Pełny tekst źródłaLi, Weijun, Jianlai Gu, Ang Li, Yuxiao Gao i Xinyong Zhang. "Few-Shot Knowledge Graph Completion Model Based on Relation Learning". Applied Sciences 13, nr 17 (22.08.2023): 9513. http://dx.doi.org/10.3390/app13179513.
Pełny tekst źródłaDi Paolo, Giuseppina, Diego Rincon-Yanez i Sabrina Senatore. "A Quick Prototype for Assessing OpenIE Knowledge Graph-Based Question-Answering Systems". Information 14, nr 3 (16.03.2023): 186. http://dx.doi.org/10.3390/info14030186.
Pełny tekst źródłaQian, Jing, Gangmin Li, Katie Atkinson i Yong Yue. "Understanding Negative Sampling in Knowledge Graph Embedding". International Journal of Artificial Intelligence & Applications 12, nr 1 (31.01.2021): 71–81. http://dx.doi.org/10.5121/ijaia.2021.12105.
Pełny tekst źródła