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A Deep Learning Approach For Flight Delay Prediction Through Time-Evolving Graphs by seveadam99 is a document available to read on EtoBox.
This paper presents a deep learning approach for flight delay prediction using a graph convolutional neural network (GCN) that considers multi-airport scenarios and time-evolving graph structures. The proposed method, named Multiscale Spatial-Temporal Adaptive Graph Convolutional Neural Network (MSTAGCN), incorporates a temporal convolutional block and an adaptive graph convolutional block to effectively capture the dynamic spatial interactions among airports. Experimental results demonstrate that this appr
- Author
- seveadam99
- Language
- EN