Search Results - "graph encoder and decoder"

CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification.

Authors: Liu, Qichao Xiao, Liang Yang, Jingxiang et al.

Source: IEEE Transactions on Geoscience & Remote Sensing. Oct2021, Vol. 59 Issue 10, p8657-8671. 15p.

Subject Terms: *IMAGE fusion, *CONVOLUTIONAL neural networks, *WEIGHT training, *CLASSIFICATION, *LAND cover

Multimodal Handwritten Exam Text Recognition Based on Deep Learning.

Authors: Shi, Hua Zhu, Zhenhui Zhang, Chenxue et al.

Source: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p8881, 25p

Subject Terms: TEXT recognition, DEEP learning, MULTIMODAL user interfaces, MATHEMATICAL optimization, RECOGNITION (Psychology), ACQUISITION of data, PATTERN recognition systems

SaeGraphDTI: drug–target interaction prediction based on sequence attribute extraction and graph neural network.

Authors: Zhang, Qiaosheng Sun, Zhenyu Zhong, Zhaoman et al.

Source: BMC Bioinformatics; 7/16/2025, Vol. 26 Issue 1, p1-16, 16p

Subject Terms: GRAPH neural networks, DRUG development, PREDICTION models, DRUG prices, INFORMATION networks, DEEP learning

Offline handwritten mathematical expression recognition with graph encoder and transformer decoder.

Authors: Tang, Jia-Man Guo, Hong-Yu Wu, Jin-Wen et al.

Source: Pattern Recognition. Apr2024, Vol. 148, pN.PAG-N.PAG. 1p.

Subject Terms: *TRANSFORMER models, *DEEP learning, *SOCIAL interaction

stGuide advances label transfer in spatial transcriptomics through attention-based supervised graph representation learning.

Authors: Xu, Yupeng Dai, Hao Feng, Jinwang et al.

Source: Frontiers in Genetics; 2025, p1-11, 11p

Subject Terms: TRANSCRIPTOMES, REPRESENTATIONS of graphs, SUPERVISED learning, GRAPH labelings, BREAST cancer

Multi-Feature Lightweight DeeplabV3+ Network for Polarimetric SAR Image Classification with Attention Mechanism.

Authors: Shi, Junfei Ji, Shanshan Jin, Haiyan et al.

Source: Remote Sensing; Apr2025, Vol. 17 Issue 8, p1422, 30p

Subject Terms: IMAGE recognition (Computer vision), FEATURE extraction, SYNTHETIC aperture radar, REMOTE sensing, LAND cover

Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling.

Authors: Taghizadeh, Mehdi Nabian, Mohammad Amin Alemazkoor, Negin

Source: Computer-Aided Civil & Infrastructure Engineering; 3/10/2025, Vol. 40 Issue 7, p841-858, 18p

Subject Terms: GRAPH neural networks, PARTIAL differential equations, COMPUTER simulation, INTERPOLATION, DATA quality, ECONOMIC efficiency, MACHINE learning

Structure-preserved integration of scRNA-seq data using heterogeneous graph neural network.

Authors: Zhang, Xun Qian, Kun Li, Hongwei

Source: Briefings in Bioinformatics; Nov2024, Vol. 25 Issue 6, p1-14, 14p

Subject Terms: GRAPH neural networks, DATA integration, RNA sequencing, GENES

Hyperspectral Multilevel GCN and CNN Feature Fusion for Change Detection

Authors: Chhaya Katiyar Vidya Manian

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19146-19159 (2024)

Subject Terms: Ocean engineering, convolutional neural network (CNN), graph convolutional network (GCN), QC801-809, remote sensing imagery, Geophysics. Cosmic physics, deep learning, Change detection (CD), supervised learning, TC1501-1800

Access URL: https://doaj.org/article/0b7bb17aae8a4cbaada19b284910cf02

Strawberry disease identification with vision transformer-based models.

Authors: Nguyen, Hai Thanh Tran, Tri Dac Nguyen, Thanh Tuong et al.

Source: Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 29, p73101-73126, 26p

Subject Terms: CONVOLUTIONAL neural networks, TRANSFORMER models, IMAGE recognition (Computer vision), NOSOLOGY, MANUFACTURING processes

Hierarchical homogeneity-based superpixel segmentation: application to hyperspectral image analysis.

Authors: Ayres, L. C. de Almeida, S. J. M. Bermudez, J. C. M. et al.

Source: International Journal of Remote Sensing; Sep2024, Vol. 45 Issue 17, p6004-6042, 39p

Subject Terms: IMAGE analysis, HOMOGENEITY, ALGORITHMS, CLASSIFICATION

Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India.

Authors: Nayak, G. H. Harish Alam, Md Wasi Singh, K. N. et al.

Source: Scientific Reports; 7/26/2024, Vol. 14 Issue 1, p1-26, 26p

Subject Terms: DEEP learning, FARM produce prices, PRICES, MACHINE learning, AGRICULTURAL forecasts, AGRICULTURAL prices, CROPS

Geographic Terms: INDIA

HyperGCN – a multi-layer multi-exit graph neural network to enhance hyperspectral image classification.

Authors: Rahmath P, Haseena Chaurasia, Kuldeep Gupta, Anika et al.

Source: International Journal of Remote Sensing; Jul2024, Vol. 45 Issue 14, p4848-4882, 35p

Subject Terms: GRAPH neural networks, IMAGE recognition (Computer vision)

Geographic Terms: BOTSWANA, SALINAS (Calif.)

BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting.

Authors: Mo, Shentong Xin, Miao

Source: IEEE Transactions on Multimedia; 2024, Vol. 26, p673-686, 14p

Multiscale Pixel-Level and Superpixel-Level Method for Hyperspectral Image Classification: Adaptive Attention and Parallel Multi-Hop Graph Convolution.

Authors: Yin, Junru Liu, Xuan Hou, Ruixia et al.

Source: Remote Sensing; Sep2023, Vol. 15 Issue 17, p4235, 23p

Subject Terms: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, MATHEMATICAL convolutions, FEATURE extraction

Rumor Detection in Social Media Based on Multi-Hop Graphs and Differential Time Series.

Authors: Chen, Jianhong Zhang, Wenyi Ma, Hongcai et al.

Source: Mathematics (2227-7390); 8/15/2023, Vol. 11 Issue 16, p3461, 22p

Subject Terms: TIME series analysis, RUMOR, RECURRENT neural networks, SOCIAL media, PUBLIC opinion, MULTICASTING (Computer networks)

Enhancing drug property prediction with dual-channel transfer learning based on molecular fragment.

Authors: Wu, Yue Ni, Xinran Wang, Zhihao et al.

Source: BMC Bioinformatics; 7/21/2023, Vol. 24 Issue 1, p1-21, 21p

Subject Terms: DRUG discovery, STATISTICAL correlation, FORECASTING, SUPERVISED learning, DATA visualization

Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery.

Authors: Kavran, Domen Mongus, Domen Žalik, Borut et al.

Source: Sensors (14248220); Jul2023, Vol. 23 Issue 14, p6648, 30p

Subject Terms: LAND cover, LAND use mapping, REMOTE-sensing images, CONVOLUTIONAL neural networks, FEATURE extraction, MULTISPECTRAL imaging

Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation.

Authors: Xue, Xiaohe Wimmer, Ralf D. Halassa, Michael M. et al.

Source: Cognitive Computation; Jul2023, Vol. 15 Issue 4, p1167-1189, 23p

EAGS: An extracting auxiliary knowledge graph model in multi-turn dialogue generation.

Authors: Ning, Bo Zhao, Deji Liu, Xinyi et al.

Source: World Wide Web; Jul2023, Vol. 26 Issue 4, p1545-1566, 22p

Subject Terms: KNOWLEDGE graphs, QUESTION answering systems, NATURAL language processing, FEATURE extraction