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GGT: A Spatio-Temporal Gated Graph Transformer with Node-Edge Joint Attention Mechanism for Community Detection

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STCommunityDetection

Datasets and codes for the paper 'GGT: A Spatio-Temporal Gated Graph Transformer with Node-Edge Joint Attention Mechanism for Community Detection' are provided here.

To run GGT, follow the steps below:

  1. Download the Gowalla, Brightkite and Weeplaces datasets, and then extract the datasets to the following directory.

    ├── STCommunityDetection
    	├── dataset
        	├── brightkite
        		├── Brightkite_edges.txt
        		├── Brightkite_totalCheckins.txt
        	├── gowalla
        		├── Gowalla_edges.txt
        		├── Gowalla_totalCheckins.txt
        	├── weeplaces
    			├── weeplace_checkins.csv
    			├── weeplace_friends.csv
    
  2. run main.py

python main.py

Dataset

  1. Gowalla
  2. Brightkite
  3. Weeplaces

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