https://arxiv.org/pdf/1911.10516.pdf this is the link for SHARE(Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction).I think this code is useful for me but it doesnot have dataset. i want to predict the on-street parking availability and i have found lots of code that have dataset of already preprocessed. I'm begginner in this field so i want to know what kind of adjacency matrix should i make and if anyone has material related to that process then it would be great help. I have data set of parking info （time, location, available space, total space, main street, 2 adjacency street, area, subarea, street code） and weather, and traffic as well .
how to make adjacency matrix for real location for SHARE model?
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