TEA-GCN: Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Forecasting by Xiaxia He, Wenhui Zhang, Xiaoyu Li, Xiaodan Zhang

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Traffic forecasting with graph spatial-temporal position recurrent network by Chen, Yibi, Li, Kenli, Yeo, Chai Kiat, Li, Keqin

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Dynamic graph neural network with adaptive edge attributes for air quality prediction: A case study in China by Jing Xu, Shuo Wang, Na Ying, Xiao Xiao, Jiang Zhang, Zhiling Jin, Yun Cheng, Gangfeng Zhang

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SFS-AGGL: Semi-Supervised Feature Selection Integrating Adaptive Graph with Global and Local Information by Yugen Yi, Haoming Zhang, Ningyi Zhang, Wei Zhou, Xiaomei Huang, Gengsheng Xie, Caixia Zheng

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Unsupervised Feature Extraction for Reliable Hyperspectral Imagery Clustering via Dual Adaptive Graphs by Jinyong Chen, Qidi Wu, Kang Sun

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Semi-supervised regression with adaptive graph learning for EEG-based emotion recognition by Tianhui Sha, Yikai Zhang, Yong Peng, Wanzeng Kong

Subjects: “…adaptive graph learning…”
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DTS-AdapSTNet: an adaptive spatiotemporal neural networks for traffic prediction with multi-graph fusion by Wenlong Shi, Jing Zhang, Xiangxuan Zhong, Xiaoping Chen, Xiucai Ye

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Adaptive graph convolutional imputation network for environmental sensor data recovery by Fanglan Chen, Dongjie Wang, Shuo Lei, Jianfeng He, Yanjie Fu, Chang-Tien Lu

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