Статті в журналах з теми "Reasoning over temporal knowledge graphs"
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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 джерелаLiu, Yushan, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, and Volker Tresp. "TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 4120–27. http://dx.doi.org/10.1609/aaai.v36i4.20330.
Повний текст джерелаBavishi, Rohan, Caroline Lemieux, Koushik Sen, and Ion Stoica. "Gauss: program synthesis by reasoning over graphs." Proceedings of the ACM on Programming Languages 5, OOPSLA (October 20, 2021): 1–29. http://dx.doi.org/10.1145/3485511.
Повний текст джерелаWang, Yinglin, and Xinyu Xu. "ERGCN: Enhanced Relational Graph Convolution Network, an Optimization for Entity Prediction Tasks on Temporal Knowledge Graphs." Future Internet 14, no. 12 (December 13, 2022): 376. http://dx.doi.org/10.3390/fi14120376.
Повний текст джерелаNayyeri, Mojtaba, Mirza Mohtashim Alam, Jens Lehmann, and Sahar Vahdati. "3D Learning and Reasoning in Link Prediction Over Knowledge Graphs." IEEE Access 8 (2020): 196459–71. http://dx.doi.org/10.1109/access.2020.3034183.
Повний текст джерелаBosselut, Antoine, Ronan Le Bras, and Yejin Choi. "Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 6 (May 18, 2021): 4923–31. http://dx.doi.org/10.1609/aaai.v35i6.16625.
Повний текст джерелаFang, Yutong, Jianzhi Deng, Fengming Zhang, and Hongyan Wang. "An Intelligent Question-Answering Model over Educational Knowledge Graph for Sustainable Urban Living." Sustainability 15, no. 2 (January 7, 2023): 1139. http://dx.doi.org/10.3390/su15021139.
Повний текст джерелаWang, Yuzhuo, Hongzhi Wang, Wenbo Lu, and Yu Yan. "METransE: Manifold-like mechanism enhanced embedding for reasoning over knowledge graphs." Expert Systems with Applications 209 (December 2022): 118288. http://dx.doi.org/10.1016/j.eswa.2022.118288.
Повний текст джерелаWang, Yuzhuo, Hongzhi Wang, Junwei He, Wenbo Lu, and Shuolin Gao. "TAGAT: Type-Aware Graph Attention neTworks for reasoning over knowledge graphs." Knowledge-Based Systems 233 (December 2021): 107500. http://dx.doi.org/10.1016/j.knosys.2021.107500.
Повний текст джерелаPapadakis, Nikos, and Stavros Boutzas. "A tool for ramification reasoning over temporal OWL knowledge bases." International Journal of Knowledge-based and Intelligent Engineering Systems 14, no. 3 (October 29, 2010): 159–82. http://dx.doi.org/10.3233/kes-2010-0199.
Повний текст джерелаZhou, Xiaojie, Pengjun Zhai, and Yu Fang. "Learning Description-Based Representations for Temporal Knowledge Graph Reasoning via Attentive CNN." Journal of Physics: Conference Series 2025, no. 1 (September 1, 2021): 012003. http://dx.doi.org/10.1088/1742-6596/2025/1/012003.
Повний текст джерелаXia, Yi, Mingjing Lan, Junyong Luo, Xiaohui Chen, and Gang Zhou. "Iterative rule-guided reasoning over sparse knowledge graphs with deep reinforcement learning." Information Processing & Management 59, no. 5 (September 2022): 103040. http://dx.doi.org/10.1016/j.ipm.2022.103040.
Повний текст джерелаLv, Shangwen, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, and Songlin Hu. "Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8449–56. http://dx.doi.org/10.1609/aaai.v34i05.6364.
Повний текст джерелаWan, Guojia, and Bo Du. "GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4393–401. http://dx.doi.org/10.1609/aaai.v35i5.16565.
Повний текст джерелаKnyazev, Boris, Carolyn Augusta, and Graham W. Taylor. "Learning temporal attention in dynamic graphs with bilinear interactions." PLOS ONE 16, no. 3 (March 4, 2021): e0247936. http://dx.doi.org/10.1371/journal.pone.0247936.
Повний текст джерелаHu, Danyang, Meng Wang, Feng Gao, Fangfang Xu, and Jinguang Gu. "Knowledge Representation and Reasoning for Complex Time Expression in Clinical Text." Data Intelligence 4, no. 3 (2022): 573–98. http://dx.doi.org/10.1162/dint_a_00152.
Повний текст джерелаGanapathy, Jayanthi, and Uma V. "Reasoning Temporally Attributed Spatial Entity Knowledge Towards Qualitative Inference of Geographic Process." International Journal of Intelligent Information Technologies 15, no. 2 (April 2019): 32–53. http://dx.doi.org/10.4018/ijiit.2019040103.
Повний текст джерелаTena Cucala, David J., Przemysław A. Wałęga, Bernardo Cuenca Grau, and Egor Kostylev. "Stratified Negation in Datalog with Metric Temporal Operators." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (May 18, 2021): 6488–95. http://dx.doi.org/10.1609/aaai.v35i7.16804.
Повний текст джерелаCherian, Anoop, Chiori Hori, Tim K. Marks, and Jonathan Le Roux. "(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 444–53. http://dx.doi.org/10.1609/aaai.v36i1.19922.
Повний текст джерелаLange, Trent E., and Michael G. Dyer. "Parallel reasoning in structured connectionist networks: Signatures versus temporal synchrony." Behavioral and Brain Sciences 19, no. 2 (June 1996): 328–31. http://dx.doi.org/10.1017/s0140525x00042953.
Повний текст джерелаWang, Dingmin, Pan Hu, Przemysław Andrzej Wałęga, and Bernardo Cuenca Grau. "MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (June 28, 2022): 5906–13. http://dx.doi.org/10.1609/aaai.v36i5.20535.
Повний текст джерелаDomingo-Fernández, Daniel, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, Joe Rokicki, and Viswa Colluru. "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery." PLOS Computational Biology 18, no. 2 (February 25, 2022): e1009909. http://dx.doi.org/10.1371/journal.pcbi.1009909.
Повний текст джерелаGe, Xingtong, Yi Yang, Ling Peng, Luanjie Chen, Weichao Li, Wenyue Zhang, and Jiahui Chen. "Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with Multi Source Heterogeneous Data." Remote Sensing 14, no. 14 (July 21, 2022): 3496. http://dx.doi.org/10.3390/rs14143496.
Повний текст джерелаChen, Jin, Xiaofeng Ji, and Xinxiao Wu. "Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 276–84. http://dx.doi.org/10.1609/aaai.v36i1.19903.
Повний текст джерелаTsamoura, Efthymia, Victor Gutierrez-Basulto, and Angelika Kimmig. "Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (April 3, 2020): 10284–91. http://dx.doi.org/10.1609/aaai.v34i06.6591.
Повний текст джерелаBRÉZILLON, P. "Representation of procedures and practices in contextual graphs." Knowledge Engineering Review 18, no. 2 (June 2003): 147–74. http://dx.doi.org/10.1017/s0269888903000675.
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 джерелаSoliman, Hatem, Izhar Ahmed Khan, and Yasir Hussain. "Learning to transfer knowledge from RDF Graphs with gated recurrent units." Intelligent Data Analysis 26, no. 3 (April 18, 2022): 679–94. http://dx.doi.org/10.3233/ida-215919.
Повний текст джерелаSoliman, Hatem, Izhar Ahmed Khan, and Yasir Hussain. "Learning to transfer knowledge from RDF Graphs with gated recurrent units." Intelligent Data Analysis 26, no. 3 (April 18, 2022): 679–94. http://dx.doi.org/10.3233/ida-215919.
Повний текст джерелаHwang, Jena D., Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi. "(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (May 18, 2021): 6384–92. http://dx.doi.org/10.1609/aaai.v35i7.16792.
Повний текст джерелаSyed, Muzamil Hussain, Tran Quoc Bao Huy, and Sun-Tae Chung. "Context-Aware Explainable Recommendation Based on Domain Knowledge Graph." Big Data and Cognitive Computing 6, no. 1 (January 20, 2022): 11. http://dx.doi.org/10.3390/bdcc6010011.
Повний текст джерелаMolina, José-Luis, Santiago Zazo, and Ana-María Martín. "Causal Reasoning: Towards Dynamic Predictive Models for Runoff Temporal Behavior of High Dependence Rivers." Water 11, no. 5 (April 26, 2019): 877. http://dx.doi.org/10.3390/w11050877.
Повний текст джерелаMartiny, Karsten, and Ralf Möller. "PDT Logic: A Probabilistic Doxastic Temporal Logic for Reasoning about Beliefs in Multi-agent Systems." Journal of Artificial Intelligence Research 57 (September 21, 2016): 39–112. http://dx.doi.org/10.1613/jair.5182.
Повний текст джерелаXie, Anze, Anders Carlsson, Jason Mohoney, Roger Waleffe, Shanan Peters, Theodoros Rekatsinas, and Shivaram Venkataraman. "Demo of marius." Proceedings of the VLDB Endowment 14, no. 12 (July 2021): 2759–62. http://dx.doi.org/10.14778/3476311.3476338.
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 джерелаShah, Sanket, Anand Mishra, Naganand Yadati, and Partha Pratim Talukdar. "KVQA: Knowledge-Aware Visual Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8876–84. http://dx.doi.org/10.1609/aaai.v33i01.33018876.
Повний текст джерелаKahn, M. G., L. M. Fagan, and L. B. Sheiner. "Combining Physiologic Models and Symbolic Methods to Interpret Time-Varying Patient Data*." Methods of Information in Medicine 30, no. 03 (1991): 167–78. http://dx.doi.org/10.1055/s-0038-1634833.
Повний текст джерелаBECK, HARALD, THOMAS EITER, and CHRISTIAN FOLIE. "Ticker: A system for incremental ASP-based stream reasoning." Theory and Practice of Logic Programming 17, no. 5-6 (August 23, 2017): 744–63. http://dx.doi.org/10.1017/s1471068417000370.
Повний текст джерелаMai, Sijie, Shuangjia Zheng, Yuedong Yang, and Haifeng Hu. "Communicative Message Passing for Inductive Relation Reasoning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4294–302. http://dx.doi.org/10.1609/aaai.v35i5.16554.
Повний текст джерелаBARYANNIS, GEORGE, ILIAS TACHMAZIDIS, SOTIRIS BATSAKIS, GRIGORIS ANTONIOU, MARIO ALVIANO, and EMMANUEL PAPADAKIS. "A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming." Theory and Practice of Logic Programming 20, no. 5 (September 2020): 687–702. http://dx.doi.org/10.1017/s1471068420000198.
Повний текст джерелаWelivita, Anuradha, and Pearl Pu. "HEAL: A Knowledge Graph for Distress Management Conversations." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 11459–67. http://dx.doi.org/10.1609/aaai.v36i10.21398.
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