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@TrafficGCN

TrafficGCN

Open source Temporal Graph Convolutional networks. Papers to come.

Popular repositories

  1. osmnx_adjacency_matrix_for_graph_convolutional_networks osmnx_adjacency_matrix_for_graph_convolutional_networks Public

    Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs

    Jupyter Notebook 14 1

  2. optimal_path_dijkstra_for_data_science optimal_path_dijkstra_for_data_science Public

    Plotting the Optimal Route in Python for Data Scientists using the Dijkstra Algorithm

    Python 9 1

  3. 40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks 40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks Public

    Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.

    Python 4

  4. haversine_mapping_for_spatial_integration_in_graph_convolutional_networks haversine_mapping_for_spatial_integration_in_graph_convolutional_networks Public

    Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.

    Python 2 1

  5. mfd_traffic_congestion_for_data_scientists mfd_traffic_congestion_for_data_scientists Public

    Plotting a Macroscopic Fundamental Diagram for Data Scientists in Python for Traffic Flow in Congested Conditions

    Python 1

  6. logo logo Public

    Python 1

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