Статті в журналах з теми "Knowledge Graphs (KG)"
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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 джерелаYang, Zhenyu, Lei Wu, Peian Wen, and Peng Chen. "Visual Question Answering reasoning with external knowledge based on bimodal graph neural network." Electronic Research Archive 31, no. 4 (2023): 1948–65. http://dx.doi.org/10.3934/era.2023100.
Повний текст джерелаBizon, Chris, Steven Cox, James Balhoff, Yaphet Kebede, Patrick Wang, Kenneth Morton, Karamarie Fecho, and Alexander Tropsha. "ROBOKOP KG and KGB: Integrated Knowledge Graphs from Federated Sources." Journal of Chemical Information and Modeling 59, no. 12 (November 26, 2019): 4968–73. http://dx.doi.org/10.1021/acs.jcim.9b00683.
Повний текст джерелаWang, Meihong, Linling Qiu, and Xiaoli Wang. "A Survey on Knowledge Graph Embeddings for Link Prediction." Symmetry 13, no. 3 (March 16, 2021): 485. http://dx.doi.org/10.3390/sym13030485.
Повний текст джерелаFang, Yin, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, and Huajun Chen. "Molecular Contrastive Learning with Chemical Element Knowledge Graph." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 3968–76. http://dx.doi.org/10.1609/aaai.v36i4.20313.
Повний текст джерелаDebruyne, Christophe, Gary Munnelly, Lynn Kilgallon, Declan O’Sullivan, and 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, no. 2 (June 30, 2022): 1–25. http://dx.doi.org/10.1145/3474829.
Повний текст джерелаLan, Ning, Shuqun Yang, Ling Yin, and Yongbin Gao. "Research on Knowledge Graphs with Concept Lattice Constraints." Symmetry 13, no. 12 (December 8, 2021): 2363. http://dx.doi.org/10.3390/sym13122363.
Повний текст джерелаLiu, Rui, Rong Fu, Kang Xu, Xuanzhe Shi, and Xiaoning Ren. "A Review of Knowledge Graph-Based Reasoning Technology in the Operation of Power Systems." Applied Sciences 13, no. 7 (March 29, 2023): 4357. http://dx.doi.org/10.3390/app13074357.
Повний текст джерелаGarifo, Giovanni, Giuseppe Futia, Antonio Vetrò, and Juan Carlos De Martin. "The Geranium Platform: A KG-Based System for Academic Publications." Information 12, no. 9 (September 8, 2021): 366. http://dx.doi.org/10.3390/info12090366.
Повний текст джерелаChen, Kai, Guohua Shen, Zhiqiu Huang, and Haijuan Wang. "Improved Entity Linking for Simple Question Answering Over Knowledge Graph." International Journal of Software Engineering and Knowledge Engineering 31, no. 01 (January 2021): 55–80. http://dx.doi.org/10.1142/s0218194021400039.
Повний текст джерелаNiu, Guanglin, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, and Xiaowei Zhang. "Rule-Guided Compositional Representation Learning on Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (April 3, 2020): 2950–58. http://dx.doi.org/10.1609/aaai.v34i03.5687.
Повний текст джерелаGovindapillai, Sini, Lay-Ki Soon, and Su-Cheng Haw. "Resource Description Framework reification for trustworthiness in knowledge graphs." F1000Research 10 (September 2, 2021): 881. http://dx.doi.org/10.12688/f1000research.72843.1.
Повний текст джерелаCui, Yuanning, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, and Wei Hu. "Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4217–24. http://dx.doi.org/10.1609/aaai.v37i4.25539.
Повний текст джерелаMohoney, Jason, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, and Theodoros Rekatsinas. "High-Throughput Vector Similarity Search in Knowledge Graphs." Proceedings of the ACM on Management of Data 1, no. 2 (June 13, 2023): 1–25. http://dx.doi.org/10.1145/3589777.
Повний текст джерелаOrogat, Abdelghny, and Ahmed El-Roby. "Maestro: Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs." Proceedings of the ACM on Management of Data 1, no. 2 (June 13, 2023): 1–24. http://dx.doi.org/10.1145/3589322.
Повний текст джерелаMavromatis, 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 джерелаYu, Donghan, Chenguang Zhu, Yiming Yang, and Michael Zeng. "JAKET: Joint Pre-training of Knowledge Graph and Language Understanding." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 11630–38. http://dx.doi.org/10.1609/aaai.v36i10.21417.
Повний текст джерелаGuo, Lingbing, Qingheng Zhang, Wei Hu, Zequn Sun, and Yuzhong Qu. "Learning to Complete Knowledge Graphs with Deep Sequential Models." Data Intelligence 1, no. 3 (June 2019): 289–308. http://dx.doi.org/10.1162/dint_a_00016.
Повний текст джерелаYang, Tong, Yifei Wang, Long Sha, Jan Engelbrecht, and Pengyu Hong. "Knowledgebra: An Algebraic Learning Framework for Knowledge Graph." Machine Learning and Knowledge Extraction 4, no. 2 (May 5, 2022): 432–45. http://dx.doi.org/10.3390/make4020019.
Повний текст джерелаMorton, Kenneth, Patrick Wang, Chris Bizon, Steven Cox, James Balhoff, Yaphet Kebede, Karamarie Fecho, and Alexander Tropsha. "ROBOKOP: an abstraction layer and user interface for knowledge graphs to support question answering." Bioinformatics 35, no. 24 (August 13, 2019): 5382–84. http://dx.doi.org/10.1093/bioinformatics/btz604.
Повний текст джерелаHsu, Chao-Chun, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao Huang, and Lun-Wei Ku. "Knowledge-Enriched Visual Storytelling." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7952–60. http://dx.doi.org/10.1609/aaai.v34i05.6303.
Повний текст джерелаBu, *Chenyang, Xingchen Yu, Yan Hong, and Tingting Jiang. "Low-Quality Error Detection for Noisy Knowledge Graphs." Journal of Database Management 32, no. 4 (October 2021): 48–64. http://dx.doi.org/10.4018/jdm.2021100104.
Повний текст джерелаZhang, Chuxu, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, and Nitesh V. Chawla. "Few-Shot Knowledge Graph Completion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (April 3, 2020): 3041–48. http://dx.doi.org/10.1609/aaai.v34i03.5698.
Повний текст джерелаDash, Sanjeeb, and Joao Goncalves. "Rule Induction in Knowledge Graphs Using Linear Programming." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4233–41. http://dx.doi.org/10.1609/aaai.v37i4.25541.
Повний текст джерелаDestandau, Marie, and Jean-Daniel Fekete. "The missing path: Analysing incompleteness in knowledge graphs." Information Visualization 20, no. 1 (January 2021): 66–82. http://dx.doi.org/10.1177/1473871621991539.
Повний текст джерелаZhang, Weihang, Ovidiu Șerban, Jiahao Sun, and Yike Guo. "IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning." Machine Learning and Knowledge Extraction 5, no. 1 (January 6, 2023): 43–58. http://dx.doi.org/10.3390/make5010004.
Повний текст джерелаXie, Luodi, Huimin Huang, and Qing Du. "A Co-Embedding Model with Variational Auto-Encoder for Knowledge Graphs." Applied Sciences 12, no. 2 (January 12, 2022): 715. http://dx.doi.org/10.3390/app12020715.
Повний текст джерелаQin, Pengda, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, and William Yang Wang. "Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8673–80. http://dx.doi.org/10.1609/aaai.v34i05.6392.
Повний текст джерелаWu, Jiajing, Zhiqiang Wei, Dongning Jia, Xin Dou, Huo Tang, and Nannan Li. "Constructing marine expert management knowledge graph based on Trellisnet-CRF." PeerJ Computer Science 8 (September 5, 2022): e1083. http://dx.doi.org/10.7717/peerj-cs.1083.
Повний текст джерелаWang, Xiaxia, Tengteng Lin, Weiqing Luo, Gong Cheng, and Yuzhong Qu. "CKGSE: A Prototype Search Engine for Chinese Knowledge Graphs." Data Intelligence 4, no. 1 (2022): 41–65. http://dx.doi.org/10.1162/dint_a_00118.
Повний текст джерелаGoel, Rishab, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. "Diachronic Embedding for Temporal Knowledge Graph Completion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3988–95. http://dx.doi.org/10.1609/aaai.v34i04.5815.
Повний текст джерелаKurniawan, Kabul, Andreas Ekelhart, Elmar Kiesling, Dietmar Winkler, Gerald Quirchmayr, and A. Min Tjoa. "VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis." Machine Learning and Knowledge Extraction 4, no. 2 (April 11, 2022): 371–96. http://dx.doi.org/10.3390/make4020016.
Повний текст джерелаGovindapillai, Sini, Lay-Ki Soon, and Su-Cheng Haw. "An empirical study on Resource Description Framework reification for trustworthiness in knowledge graphs." F1000Research 10 (November 29, 2021): 881. http://dx.doi.org/10.12688/f1000research.72843.2.
Повний текст джерелаFernández-Álvarez, Daniel, Johannes Frey, Jose Emilio Labra Gayo, Daniel Gayo-Avello, and Sebastian Hellmann. "Approaches to measure class importance in Knowledge Graphs." PLOS ONE 16, no. 6 (June 10, 2021): e0252862. http://dx.doi.org/10.1371/journal.pone.0252862.
Повний текст джерелаGu, Tianlong, Haohong Liang, Chenzhong Bin, and Liang Chang. "Combining user-end and item-end knowledge graph learning for personalized recommendation." Journal of Intelligent & Fuzzy Systems 40, no. 5 (April 22, 2021): 9213–25. http://dx.doi.org/10.3233/jifs-201635.
Повний текст джерелаDi Paolo, Giuseppina, Diego Rincon-Yanez, and Sabrina Senatore. "A Quick Prototype for Assessing OpenIE Knowledge Graph-Based Question-Answering Systems." Information 14, no. 3 (March 16, 2023): 186. http://dx.doi.org/10.3390/info14030186.
Повний текст джерелаWang, Chenming, and Bo Huang. "The Use of Attentive Knowledge Graph Perceptual Propagation for Improving Recommendations." Applied Sciences 13, no. 8 (April 7, 2023): 4667. http://dx.doi.org/10.3390/app13084667.
Повний текст джерелаKelley, Aidan, and Daniel Garijo. "A framework for creating knowledge graphs of scientific software metadata." Quantitative Science Studies 2, no. 4 (2021): 1423–46. http://dx.doi.org/10.1162/qss_a_00167.
Повний текст джерелаChen, Xuelu, Ziniu Hu, and Yizhou Sun. "Fuzzy Logic Based Logical Query Answering on Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 3939–48. http://dx.doi.org/10.1609/aaai.v36i4.20310.
Повний текст джерелаJiang, Yukun, Xin Gao, Wenxin Su, and Jinrong Li. "Systematic Knowledge Management of Construction Safety Standards Based on Knowledge Graphs: A Case Study in China." International Journal of Environmental Research and Public Health 18, no. 20 (October 12, 2021): 10692. http://dx.doi.org/10.3390/ijerph182010692.
Повний текст джерелаGeng, Yuxia, Jiaoyan Chen, Zhiquan Ye, Zonggang Yuan, Wei Zhang, and Huajun Chen. "Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs." Semantic Web 12, no. 5 (August 27, 2021): 741–65. http://dx.doi.org/10.3233/sw-210435.
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