Adaptive feature fusion network for machine fault diagnosis with multiple knowledge based graphs. [PDF]
Liu C +5 more
europepmc +1 more source
An adaptive multi-scale spatio-temporal graph network for robust MOOC dropout prediction. [PDF]
Duan Y, Chen X.
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A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation. [PDF]
Nazari A, Mansoorizadeh M, Khotanlou H.
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A Bio-Inspired Lightweight Human Action Recognition Method Based on Human Keypoint Detection. [PDF]
Huang W, Wu M, Chen W, Zhou Q.
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Facilitating the spread prediction of public health emergencies based on spatio-temporal neural network. [PDF]
Cai Z, Wang H, Tan F.
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Spatiotemporal Fusion for Stock Prediction via Hypergraph Attention Gated Recurrent Units. [PDF]
Cao X, Qian C, Huang H.
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Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network. [PDF]
Dissanayake D +4 more
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Pre-trained multi-scale RWKV-GCN for multivariate time series forecasting. [PDF]
Hao J, Liu F, Zhang W.
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WS-GCN: Integrating GCN with Weak Supervision for Enhanced 3D Human Pose Estimation
Zhenxiang Jiang, Yingyu Chen
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Microwave thermal supercharging therapy enables selective tumor ablation via low-power radio frequency-responsive nanotopographies. [PDF]
Guo W +14 more
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