| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wan. Joint learning of feature and topology for multi-view graph convolutional network. Neural networks : the official journal of the International Neural Network Society. vol 168. 2023-09-27. PMID:37757724. |
specifically, to capture the feature consistency, we construct a deep matrix decomposition module, which maps data from different views onto a feature space obtaining a consistent feature representation. |
2023-09-27 |
2023-10-07 |
Not clear |
| Jie Chen, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yan. Multiresolution Interpretable Contourlet Graph Network for Image Classification. IEEE transactions on neural networks and learning systems. vol PP. 2023-09-25. PMID:37747859. |
finally, the learnable graph assignment matrix is designed to get the geometric association representations, which accomplish the assignment of graph representations to grid feature maps. |
2023-09-25 |
2023-10-07 |
Not clear |
| Bing G. A Discrete-Variable Local Diabatic Representation of Conical Intersection Dynamics. Journal of chemical theory and computation. 2023-09-22. PMID:37737832. |
the nonadiabatic effects are accounted for by the electronic overlap matrix instead of derivative couplings as in the adiabatic representation. |
2023-09-22 |
2023-10-07 |
Not clear |
| Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zh. Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data. IEEE transactions on neural networks and learning systems. vol PP. 2023-09-22. PMID:37738196. |
unlike previous methods performing contrastive learning at the representation level of the samples, in the graph contrastive learning module, we conduct contrastive learning at the graph structure level by imposing a regularization term on the similarity matrix. |
2023-09-22 |
2023-10-07 |
Not clear |
| Yasuhiro Yamada, Kensuke Inab. Detecting partial synchrony in a complex oscillatory network using pseudovortices. Physical review. E. vol 108. issue 2-1. 2023-09-19. PMID:37723738. |
the proposed method is based on an integer matrix whose element is pseudovorticity that discretely quantifies asynchronous phase dynamics in every two oscillators, which results in graphical and entropic representations of partial synchrony. |
2023-09-19 |
2023-10-07 |
Not clear |
| Wout Merbis, Clélia de Mulatier, Philippe Corbo. Efficient simulations of epidemic models with tensor networks: Application to the one-dimensional susceptible-infected-susceptible model. Physical review. E. vol 108. issue 2-1. 2023-09-19. PMID:37723790. |
in this work, we demonstrate how accurate and efficient representations of the full probability distribution over all configurations of the contact process on a one-dimensional chain can be obtained by means of matrix product states (mpss). |
2023-09-19 |
2023-10-07 |
Not clear |
| Shuang Xiang, Te Zhang, Minghao W. M6ATMR: identifying N6-methyladenosine sites through RNA sequence similarity matrix reconstruction guided by Transformer. PeerJ. vol 11. 2023-09-18. PMID:37719113. |
our approach relies solely on sequence information, leveraging transformer to guide the reconstruction of the sequence similarity matrix, thereby enhancing feature representation. |
2023-09-18 |
2023-10-07 |
Not clear |
| Rajeev Kumar Saha, Raman Kumar, Nikhil Dev, Rajender Kumar, Raman Kumar, Raul M Del Toro, Sofía Haber, José E Naranj. Structural modeling and analysis of fuel cell: a graph-theoretic approach. PeerJ. Computer science. vol 9. 2023-09-14. PMID:37705655. |
the methodology developed in this work consists of a series of steps comprised of digraph representation, matrix representation, and permanent function representation. |
2023-09-14 |
2023-10-07 |
Not clear |
| Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xi. Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE transactions on neural networks and learning systems. vol PP. 2023-09-07. PMID:37672378. |
comprehensive multiview representation learning via deep autoencoder-like nonnegative matrix factorization. |
2023-09-07 |
2023-10-07 |
Not clear |
| Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xi. Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE transactions on neural networks and learning systems. vol PP. 2023-09-07. PMID:37672378. |
multiview representation learning (mrl) based on nonnegative matrix factorization (nmf) has been widely adopted by projecting high-dimensional space into a lower order dimensional space with great interpretability. |
2023-09-07 |
2023-10-07 |
Not clear |
| Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xi. Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE transactions on neural networks and learning systems. vol PP. 2023-09-07. PMID:37672378. |
to address the above issues, in this article, we propose a novel model termed deep autoencoder-like nmf for mrl (danmf-mrl), which obtains the representation matrix through the deep encoding stage and decodes it back to the original data. |
2023-09-07 |
2023-10-07 |
Not clear |
| Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xi. Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE transactions on neural networks and learning systems. vol PP. 2023-09-07. PMID:37672378. |
we further propose a one-step danmf-mrl, which learns the latent representation and final clustering labels matrix in a unified framework. |
2023-09-07 |
2023-10-07 |
Not clear |
| L Beatriz Castro-Gómez, José Campos-Martínez, Marta I Hernández, Ramón Hernández-Lamoned. Molecular Oxygen Trimer: Multiplet Structures and Stability. Chemphyschem : a European journal of chemical physics and physical chemistry. 2023-09-07. PMID:37675623. |
in order to obtain all the states a matrix representation of the potential using the uncoupled spin representation has been applied. |
2023-09-07 |
2023-10-07 |
Not clear |
| Francis Banville, Dominique Gravel, Timothée Poiso. What constrains food webs? A maximum entropy framework for predicting their structure with minimal biases. PLoS computational biology. vol 19. issue 9. 2023-09-05. PMID:37669314. |
second, we present a heuristic and flexible approach of finding a network's adjacency matrix (the network's representation in matrix format) based on simulated annealing and svd entropy. |
2023-09-05 |
2023-10-07 |
Not clear |
| Nicholas F Marshall, Oscar Mickelin, Yunpeng Shi, Amit Singe. Fast principal component analysis for cryo-electron microscopy images. Biological imaging. vol 3. 2023-08-30. PMID:37645688. |
we introduce a fast method for estimating a compressed representation of the 2-d covariance matrix of noisy cryo-em projection images affected by radial point spread functions that enables fast pca computation. |
2023-08-30 |
2023-09-07 |
Not clear |
| Yinlong Huo, Fei Yang, Fuguo Wang, Peng Guo, Jiakang Zhu, Yuanguo Li. A Novel Tandem Differential Edge Sensor Layout for Segmented Mirror Telescopes. Sensors (Basel, Switzerland). vol 23. issue 16. 2023-08-26. PMID:37631788. |
the control performance of this scheme is analyzed in terms of error propagation, mode representation, and the scalable construction of the control matrix. |
2023-08-26 |
2023-09-07 |
Not clear |
| Jonathan Tarquino, Sara Arabyarmohammadi, Rafael Enrique Tejada, Anant Madabhushi, Eduardo Romer. Intra-nucleus Mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing Acute Leukemia Blasts on single cell peripheral blood images. Cytometry. Part A : the journal of the International Society for Analytical Cytology. 2023-08-11. PMID:37565838. |
as a complement, haralick's statistics characterize the local structure of the whole cell from an intensity co-occurrence matrix representation. |
2023-08-11 |
2023-08-16 |
Not clear |
| Luyao Li, Hong Huang, Qianqian Li, Junfeng Ma. Personalized movie recommendations based on deep representation learning. PeerJ. Computer science. vol 9. 2023-08-07. PMID:37547384. |
in this method, the dbn is used to learn the deep representation of users and items, and the user-item rating matrix is maximized. |
2023-08-07 |
2023-08-14 |
Not clear |
| Ai-Guo Wu, Zhiyuan Dong, Ke Dua. On Bicon-Numbers With Their Basic Properties and Applications in Quantum Systems. IEEE transactions on cybernetics. vol PP. 2023-08-07. PMID:37549085. |
by exploring the relations of the vensors in the bicon-number set, the structure of the bicon-number set is depicted, and real matrix representations of bicon-numbers are also presented. |
2023-08-07 |
2023-08-14 |
Not clear |
| Ai-Guo Wu, Zhiyuan Dong, Ke Dua. On Bicon-Numbers With Their Basic Properties and Applications in Quantum Systems. IEEE transactions on cybernetics. vol PP. 2023-08-07. PMID:37549085. |
besides, bicomplex matrix representations for bicon-numbers are also investigated in view that the operation of multiplication for bicomplex numbers possesses commutativity property. |
2023-08-07 |
2023-08-14 |
Not clear |