Jul 28, 2018 · We propose a new multi-graph convolutional neural network model to predict the bike flow at station-level, where the key novelty is viewing the ...
We propose a multi-graph convolutional neural network model to predict flow at station-level, where the key novelty is viewing the bike sharing system from the ...
A multi-graph convolutional neural network model to predict flow at station-level, where the key novelty is viewing the bike sharing system from the graph ...
We propose a new multi-graph convolutional neural network model to predict the bike flow at station-level, where the key novelty is viewing the bike sharing ...
ABSTRACT. One fundamental issue in managing bike sharing systems is bike flow prediction. Due to the hardness of predicting flow for a single.
One fundamental issue in managing bike sharing systems is bike flow prediction. Due to the hardness of predicting flow for a single station, recent research ...
solve the above problem, we propose a novel multi-graph convolutional neural network model, which will be elaborated next. Figure 1 gives an overview of our ...
For bike demand forecasting, Chai et al. (2018) and Geng et al., 2019a, Geng et al., 2019b implemented multi-graph convolution based on the three types of graph ...
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Jul 7, 2024 · EPG-MGCN leverages graph convolutional networks and ego-planning guidance to predict the trajectories of heterogeneous traffic agents near the ...
Bike flow prediction with multi-graph convolutional networks. In Proceedings of the 26th ACM. SIGSPATIAL International Conference on Advances in Geographic.