Статті в журналах з теми "Hypergraph Representation Learning"
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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 джерелаBai, Junjie, Biao Gong, Yining Zhao, Fuqiang Lei, Chenggang Yan, and Yue Gao. "Multi-Scale Representation Learning on Hypergraph for 3D Shape Retrieval and Recognition." IEEE Transactions on Image Processing 30 (2021): 5327–38. http://dx.doi.org/10.1109/tip.2021.3082765.
Повний текст джерелаZhang, Ruochi, Tianming Zhou, and Jian Ma. "Multiscale and integrative single-cell Hi-C analysis with Higashi." Nature Biotechnology 40, no. 2 (October 11, 2021): 254–61. http://dx.doi.org/10.1038/s41587-021-01034-y.
Повний текст джерелаHong, Chaoqun, and Jianke Zhu. "Hypergraph-based multi-example ranking with sparse representation for transductive learning image retrieval." Neurocomputing 101 (February 2013): 94–103. http://dx.doi.org/10.1016/j.neucom.2012.09.001.
Повний текст джерелаDong, Naghedolfeizi, Aberra, and Zeng. "Spectral–Spatial Discriminant Feature Learning for Hyperspectral Image Classification." Remote Sensing 11, no. 13 (June 29, 2019): 1552. http://dx.doi.org/10.3390/rs11131552.
Повний текст джерелаXu, You-Wei, Hong-Jun Zhang, Kai Cheng, Xiang-Lin Liao, Zi-Xuan Zhang, and Yun-Bo Li. "Knowledge graph embedding with entity attributes using hypergraph neural networks." Intelligent Data Analysis 26, no. 4 (July 11, 2022): 959–75. http://dx.doi.org/10.3233/ida-216007.
Повний текст джерелаNgo, Vuong M., Thuy-Van T. Duong, Tat-Bao-Thien Nguyen, Phuong T. Nguyen, and Owen Conlan. "An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures." Journal on Computing and Cultural Heritage 14, no. 4 (December 31, 2021): 1–22. http://dx.doi.org/10.1145/3465381.
Повний текст джерелаWang, Xinlei, Junchang Xin, Zhongyang Wang, Chuangang Li, and Zhiqiong Wang. "An Evolving Hypergraph Convolutional Network for the Diagnosis of Alzheimer’s Disease." Diagnostics 12, no. 11 (October 30, 2022): 2632. http://dx.doi.org/10.3390/diagnostics12112632.
Повний текст джерелаLiu, Qingshan, Yubao Sun, Renlong Hang, and Huihui Song. "Spatial–Spectral Locality-Constrained Low-Rank Representation with Semi-Supervised Hypergraph Learning for Hyperspectral Image Classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, no. 9 (September 2017): 4171–82. http://dx.doi.org/10.1109/jstars.2017.2700490.
Повний текст джерелаWu, Hanrui, and Michael K. Ng. "Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification." ACM Transactions on Knowledge Discovery from Data 16, no. 4 (August 31, 2022): 1–19. http://dx.doi.org/10.1145/3494567.
Повний текст джерелаXia, Xin, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, and Xiangliang Zhang. "Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4503–11. http://dx.doi.org/10.1609/aaai.v35i5.16578.
Повний текст джерелаTran, Huu Ngoc Tran, J. Joshua Thomas, and Nurul Hashimah Ahamed Hassain Malim. "DeepNC: a framework for drug-target interaction prediction with graph neural networks." PeerJ 10 (May 11, 2022): e13163. http://dx.doi.org/10.7717/peerj.13163.
Повний текст джерелаHuang, Jiahao, Fangyuan Lei, Jianjian Jiang, Xi Zeng, Ruijun Ma, and Qingyun Dai. "Multi-order hypergraph convolutional networks integrated with self-supervised learning." Complex & Intelligent Systems, January 9, 2023. http://dx.doi.org/10.1007/s40747-022-00964-7.
Повний текст джерелаLiu, Xiang, Huitao Feng, Jie Wu, and Kelin Xia. "Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction." Briefings in Bioinformatics 22, no. 5 (April 9, 2021). http://dx.doi.org/10.1093/bib/bbab127.
Повний текст джерелаLiu, Xuan, Congzhi Song, Shichao Liu, Menglu Li, Xionghui Zhou, and Wen Zhang. "Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction." Bioinformatics, August 24, 2022. http://dx.doi.org/10.1093/bioinformatics/btac579.
Повний текст джерелаLi, Mengran, Yong Zhang, Xiaoyong Li, Yuchen Zhang, and Baocai Yin. "Hypergraph Transformer Neural Networks." ACM Transactions on Knowledge Discovery from Data, September 27, 2022. http://dx.doi.org/10.1145/3565028.
Повний текст джерелаLi, Menghang, Min Qiu, Li Zhu, and Wanzeng Kong. "Feature hypergraph representation learning on spatial-temporal correlations for EEG emotion recognition." Cognitive Neurodynamics, October 10, 2022. http://dx.doi.org/10.1007/s11571-022-09890-3.
Повний текст джерелаHeydari, Sajjad, Stefano Raniolo, Lorenzo Livi, and Vittorio Limongelli. "Transferring chemical and energetic knowledge between molecular systems with machine learning." Communications Chemistry 6, no. 1 (January 13, 2023). http://dx.doi.org/10.1038/s42004-022-00790-5.
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