All Relations between gat and matrix compartment

Publication Sentence Publish Date Extraction Date Species
Jingxuan Xie, Peng Xu, Ye Lin, Manyu Zheng, Jixuan Jia, Xinru Tan, Jianqiang Sun, Qi Zha. LncRNA-miRNA interactions prediction based on meta-path similarity and Gaussian kernel similarity. Journal of cellular and molecular medicine. vol 28. issue 19. 2024-09-30. PMID:39347925. then, we use gat to aggregate the constructed meta-path similarity matrix and the computed gaussian kernel similarity matrix to update the feature matrix with neighbourhood information. 2024-09-30 2024-10-02 Not clear
Bo Wang, Tongxuan Wang, Xiaoxin Du, Jingwei Li, Junqi Wang, Peilong W. Microbe-drug association prediction model based on graph convolution and attention networks. Scientific reports. vol 14. issue 1. 2024-09-27. PMID:39333143. the gcn module is used to dig deeper into the potential characterization of microbes and drugs, while the gat module further learns the more complex interactions between them and generates the corresponding score matrix. 2024-09-27 2024-10-01 human
Chen Zhang, Junhui Gao, Hong-Yu Chen, Lingxin Kong, Guangshuo Cao, Xiangyu Guo, Wei Liu, Bin Ren, Dong-Qing We. STGIC: A graph and image convolution-based method for spatial transcriptomic clustering. PLoS computational biology. vol 20. issue 2. 2024-02-28. PMID:38416785. graph convolution network (gcn) and graph attention network (gat), fed with spatial coordinates derived adjacency and transcription profile derived feature matrix are often used to solve the problem. 2024-02-28 2024-03-02 human
Vivek P, Mithun Mohanan, Shajil U K, Sandesh E Pa, Jaleel U C . Graph Attention Network based mapping of knowledge relations between chemical spaces of Nuclear factor kappa B and Centella asiatica. Computational biology and chemistry. vol 107. 2023-09-21. PMID:37734134. by measuring similarity and arranging a matrix of similarity ranking based on gat, deep neural ranking-based algorithms confirmed the regulatory behaviour of an innate immunity target nf-κb with the support of underlying inverse mapping in the surjective chemical spaces of nf-κb bioassays and ca molecular spaces. 2023-09-21 2023-10-07 Not clear
Yue Wang, Han Sun, Haodong Wang, Dandan Li, Weizhong Zhao, Xingpeng Jiang, Xianjun She. An Effective Model for Predicting Phage-host Interactions via Graph Embedding Representation Learning with Multi-head Attention Mechanism. IEEE journal of biomedical and health informatics. vol PP. 2023-04-08. PMID:37030796. more specifically, a module of gat with talking-heads is employed to learn representations of phages and bacteria, on which neural induction matrix completion is conducted to reconstruct the phage-host association matrix. 2023-04-08 2023-08-14 human
Zhihao Ma, Zhufang Kuang, Lei Den. NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-MiRNA Interactions. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2023-04-07. PMID:37027645. in this paper, we propose a novel deep learning algorithm based on node2vec and graph attention network (gat), conditional random field (crf) layer and inductive matrix completion (imc) to predict circrnas and mirnas interactions (ngcicm). 2023-04-07 2023-08-14 human
Yi Zhang, Yu Wang, Xin Li, Yarong Liu, Min Che. Identifying lncRNA-disease association based on GAT multiple-operator aggregation and inductive matrix completion. Frontiers in genetics. vol 13. 2022-11-07. PMID:36338997. identifying lncrna-disease association based on gat multiple-operator aggregation and inductive matrix completion. 2022-11-07 2023-08-14 Not clear
Yi Zhang, Yu Wang, Xin Li, Yarong Liu, Min Che. Identifying lncRNA-disease association based on GAT multiple-operator aggregation and inductive matrix completion. Frontiers in genetics. vol 13. 2022-11-07. PMID:36338997. therefore, a new computational model composed of multiple mechanisms for lncrna-disease association (mm-lda) prediction was proposed, based on the fusion of the graph attention network (gat) and inductive matrix completion (imc). 2022-11-07 2023-08-14 Not clear
N I Valkov, M I Ivanova, A A Uscheva, C P Krachmaro. Association of actin with DNA and nuclear matrix from Guerin ascites tumour cells. Molecular and cellular biochemistry. vol 87. issue 1. 1989-10-06. PMID:2770714. application of radioimmunoassay (ria) enabled to determine the exact content of actin in gat nuclei and nuclear matrices - 5 micrograms/ml in nuclei, of which 50% are bound to dna and 30% being a component of the protein part of the nuclear matrix. 1989-10-06 2023-08-11 Not clear