PKET-GCN: prior knowledge enhanced time-varying graph convolution network for traffic flow prediction
Due to prediction on the traffic flow is influenced by the real environment and historical data,
the produced traffic graph may include significant uncertainty. The graph convolution …
the produced traffic graph may include significant uncertainty. The graph convolution …
PKET-GCN: Prior Knowledge Enhanced Time-Varying Graph Convolution Network for Traffic Flow Prediction
Y Bao, J Liu, Q Shen, Y Cao, W Ding, Q Shi - Available at SSRN 4331039 - papers.ssrn.com
Due to the complexity and variability of real-world traffic flow, it is challenging work to
capture the dynamic spatial-temporal correlation effectively. Most existing studies ignore the …
capture the dynamic spatial-temporal correlation effectively. Most existing studies ignore the …
PKET-GCN:: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction
Y Bao, J Liu, Q Shen, Y Cao, W Ding, Q Shi - 2023 - dl.acm.org
Due to prediction on the traffic flow is influenced by the real environment and historical data,
the produced traffic graph may include significant uncertainty. The graph convolution …
the produced traffic graph may include significant uncertainty. The graph convolution …