Results 331 to 340 of about 1,708,308 (346)

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

IEEE Transactions on Intelligent Transportation Systems, 2021
Kan Guo, Yongli Hu, Zhen Qian
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Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification

Expert Systems With Applications, 2023
Yao Ding, Zhili Zhang, Xiaofeng Zhao
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Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review

IEEE Reviews in Biomedical Engineering, 2023
Xin Yuan, Wei Ni, Terence J O'Brien
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STGSN — A Spatial–Temporal Graph Neural Network framework for time-evolving social networks

Knowledge-Based Systems, 2021
Shengjie Min, Zhan Gao, Jing Peng
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Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

IEEE Transactions on Intelligent Transportation Systems, 2020
Zhiyong Cui, KRISTIAN Henrickson, Ruimin Ke   +2 more
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Markov clustering regularized multi-hop graph neural network

Pattern Recognition, 2023
Xiaolong Fan, Maoguo Gong
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Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Giorgos Bouritsas, Stefanos Zafeiriou, Michael M Bronstein   +2 more
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Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting

Future Generation Computer Systems, 2023
Youcef Djenouri, Asma Belhadi, Gautam Srivastava   +2 more
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The power of graph neural networks

4th ACM Europe Summer School on Science: Towards building the Data Science Stack, 2023
openaire   +1 more source

Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach

Transportation Research Part C: Emerging Technologies, 2018
Lei Lin, Zhengbing He, Srinivas Peeta
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