A graph convolutional neural network that dynamically adapts its architecture to input data at inference time to predict the short-term states of traffic - researchr publication

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Chaewon Kwon, Gyeongjun Kim, Keemin Sohn. A graph convolutional neural network that dynamically adapts its architecture to input data at inference time to predict the short-term states of traffic. Eng. Appl. of AI, 144:110074, 2025. [doi]

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