Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach

MizAR 60 for Mizar 50

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Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

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Graph Attention Networks

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The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

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