Добірка наукової літератури з теми "Hypergraph Representation Learning"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Hypergraph Representation Learning".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Hypergraph Representation Learning"
Zhang, Liyan, Jingfeng Guo, Jiazheng Wang, Jing Wang, Shanshan Li, and Chunying Zhang. "Hypergraph and Uncertain Hypergraph Representation Learning Theory and Methods." Mathematics 10, no. 11 (June 3, 2022): 1921. http://dx.doi.org/10.3390/math10111921.
Повний текст джерелаFeng, Yifan, Haoxuan You, Zizhao Zhang, Rongrong Ji, and Yue Gao. "Hypergraph Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3558–65. http://dx.doi.org/10.1609/aaai.v33i01.33013558.
Повний текст джерелаShen, William, Felipe Trevizan, and Sylvie Thiébaux. "Learning Domain-Independent Planning Heuristics with Hypergraph Networks." Proceedings of the International Conference on Automated Planning and Scheduling 30 (June 1, 2020): 574–84. http://dx.doi.org/10.1609/icaps.v30i1.6754.
Повний текст джерелаBouhlel, Noura, Ghada Feki, Anis Ben Ammar, and Chokri Ben Amar. "Hypergraph learning with collaborative representation for image search reranking." International Journal of Multimedia Information Retrieval 9, no. 3 (January 22, 2020): 205–14. http://dx.doi.org/10.1007/s13735-019-00191-w.
Повний текст джерелаDing, Deqiong, Xiaogao Yang, Fei Xia, Tiefeng Ma, Haiyun Liu, and Chang Tang. "Unsupervised feature selection via adaptive hypergraph regularized latent representation learning." Neurocomputing 378 (February 2020): 79–97. http://dx.doi.org/10.1016/j.neucom.2019.10.018.
Повний текст джерелаZhang, Ruochi, and Jian Ma. "MATCHA: Probing Multi-way Chromatin Interaction with Hypergraph Representation Learning." Cell Systems 10, no. 5 (May 2020): 397–407. http://dx.doi.org/10.1016/j.cels.2020.04.004.
Повний текст джерелаQi, Xianglong, Yang Gao, Ruibin Wang, Minghua Zhao, Shengjia Cui, and Mohsen Mortazavi. "Learning High-Order Semantic Representation for Intent Classification and Slot Filling on Low-Resource Language via Hypergraph." Mathematical Problems in Engineering 2022 (September 16, 2022): 1–16. http://dx.doi.org/10.1155/2022/8407713.
Повний текст джерелаLi, Wang, Zhang Yong, Yuan Wei, and Shi Hongxing. "Vehicle Reidentification via Multifeature Hypergraph Fusion." International Journal of Digital Multimedia Broadcasting 2021 (March 18, 2021): 1–10. http://dx.doi.org/10.1155/2021/6641633.
Повний текст джерелаGuo, Lei, Hongzhi Yin, Tong Chen, Xiangliang Zhang, and Kai Zheng. "Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation." ACM Transactions on Information Systems 40, no. 1 (January 31, 2022): 1–27. http://dx.doi.org/10.1145/3457949.
Повний текст джерелаXu, Jinhuan, Liang Xiao, and Jingxiang Yang. "Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image." Remote Sensing 13, no. 7 (April 2, 2021): 1372. http://dx.doi.org/10.3390/rs13071372.
Повний текст джерелаДисертації з теми "Hypergraph Representation Learning"
Hakeem, Asaad. "LEARNING, DETECTION, REPRESENTATION, INDEXING AND RETRIEVAL OF MULTI-AGENT EVENTS IN VIDEOS." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3370.
Повний текст джерелаPh.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science PhD
Ren, Peng. "Developments in structural learning using Ihara coefficients and hypergraph representations." Thesis, University of York, 2010. http://etheses.whiterose.ac.uk/1352/.
Повний текст джерелаЧастини книг з теми "Hypergraph Representation Learning"
Wu, Di, Yue Kou, Derong Shen, Tiezheng Nie, and Dong Li. "Dual-level Hypergraph Representation Learning for Group Recommendation." In Web Information Systems and Applications, 546–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20309-1_48.
Повний текст джерелаZhang, Ruochi, and Jian Ma. "Probing Multi-way Chromatin Interaction with Hypergraph Representation Learning." In Lecture Notes in Computer Science, 276–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45257-5_37.
Повний текст джерелаLiu, Jingquan, Xiaoyong Du, Yuanzhe Li, and Weidong Hu. "Hypergraph Variational Autoencoder for Multimodal Semi-supervised Representation Learning." In Lecture Notes in Computer Science, 395–406. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-15937-4_33.
Повний текст джерелаSrinivasan, Balasubramaniam, Da Zheng, and George Karypis. "Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks." In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 756–64. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976700.85.
Повний текст джерелаZhu, Linli, and Wei Gao. "Hypergraph Ontology Sparse Vector Representation and Its Application to Ontology Learning." In Data Mining and Big Data, 16–27. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7502-7_2.
Повний текст джерелаSingh, Rana Pratap, Divyank Ojha, and Kuldeep Singh Jadon. "A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection." In Lecture Notes in Electrical Engineering, 71–82. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4687-5_6.
Повний текст джерелаZhang, Yuduo, Zhichao Lian, and Chanying Huang. "A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification." In Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 325–34. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36204-1_27.
Повний текст джерелаLu, Juanjuan, Linli Zhu, and Wei Gao. "Structured Representation of Fuzzy Data by Bipolar Fuzzy Hypergraphs." In Machine Learning for Cyber Security, 663–76. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-20102-8_52.
Повний текст джерелаZuo, Qiankun, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, and Shuqiang Wang. "Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer’s Disease Prediction." In Pattern Recognition and Computer Vision, 479–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88010-1_40.
Повний текст джерелаWong, Andrew K. C., Yang Wang, and Gary C. L. Li. "Pattern Discovery as Event Association." In Machine Learning, 1924–32. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch804.
Повний текст джерелаТези доповідей конференцій з теми "Hypergraph Representation Learning"
Du, Boxin, Changhe Yuan, Robert Barton, Tal Neiman, and Hanghang Tong. "Self-supervised Hypergraph Representation Learning." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020240.
Повний текст джерелаJiang, Jianwen, Yuxuan Wei, Yifan Feng, Jingxuan Cao, and Yue Gao. "Dynamic Hypergraph Neural Networks." 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.2019/366.
Повний текст джерелаDumancic, Sebastijan, and Hendrik Blockeel. "Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/226.
Повний текст джерелаHuang, Jing, and Jie Yang. "UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/353.
Повний текст джерелаBaek, Jaeuk, and Changeun Lee. "Hypergraph based Multi-Agents Representation Learning for Similarity Analysis." In 2021 21st International Conference on Control, Automation and Systems (ICCAS). IEEE, 2021. http://dx.doi.org/10.23919/iccas52745.2021.9649757.
Повний текст джерелаSu, Lifan, Yue Gao, Xibin Zhao, Hai Wan, Ming Gu, and Jiaguang Sun. "Vertex-Weighted Hypergraph Learning for Multi-View Object Classification." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/387.
Повний текст джерелаHuang, Yuchi, and Hanqing Lu. "Deep learning driven hypergraph representation for image-based emotion recognition." In ICMI '16: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2993148.2993185.
Повний текст джерелаChu, Yunfei, Chunyan Feng, and Caili Guo. "Social-Guided Representation Learning for Images via Deep Heterogeneous Hypergraph Embedding." In 2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018. http://dx.doi.org/10.1109/icme.2018.8486506.
Повний текст джерелаLiu, Yuxin, Yawen Li, Yingxia Shao, and Zeli Guan. "Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property." In 2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS). IEEE, 2022. http://dx.doi.org/10.1109/ccis57298.2022.10016431.
Повний текст джерелаCai, Derun, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, and Hongyan Li. "Hypergraph Structure Learning for Hypergraph Neural Networks." 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.2022/267.
Повний текст джерела