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Mal-Bert-GCN: Malware Detection by Combining Bert and GCN
2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022Zhenquan Ding +5 more
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MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Detection
IEEE Transactions on Biomedical EngineeringResting state fMRI (rsfMRI) is widely used to differentiate Alzheimer's Disease (AD) and identify biomarkers but its obscure features and noises challenge the present models. Brain graph convolution network (GCN) provides a good interpretation but suffers from the inferior performance due to the insufficient feature representation.
Yinghua, Fu, Wenqi, Zhu, Ze, Wang
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MLC-GCN: Multi-Level Connectomes Based GCN for AD Detection
ISMRM Annual MeetingMotivation: Alzheimer's Disease (AD) is characterized by progressive cognitive impairments that are related to alterations in brain functional connectivity (FC). Goal(s): to design a graph convolutional network (GCN) based classifier to differentiate AD from old cognitive normal controls.
Yinghua Fu +4 more
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ASR-GCN: Adaptive spatial information reconstruction GCN for skeleton-based action recognition
Neural NetworksOver the past few years, skeleton-based action recognition has attracted significant focus in the area of computer vision. However, existing methods still face many challenges in feature extraction and dynamic feature learning for complex tasks. This paper proposes an innovative Adaptive Spatial Information Reconstruction Model (ASR-GCN) to address ...
Ying Wu +4 more
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DFT based comparative study of pristine gCN and gCN-ZnO composite as a sensor for CO and CO gases
Materials Letters, 2022J K Goswamy, B C Choudhary
exaly
SPM-GCN: An adaptive reordering algorithm for sparse LU factorization via GCN
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023Min Tian 0005 +5 more
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