Graph convolutional neural network for forecasting traffic in the London bike-share system, where the graph convolutions pass spatial information between stations, and one-dimensional convolutions pass information from past traffic.
Hi, I noticed that you have done a great work for predicting bike sharing demand. I wanted to reproduce your work, but when I looked at raw_data.py file, I don't know how many files I need to download from database, and I also can't get the station const file, can u help me ? Thanks.
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