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mnqu committed Jun 7, 2019
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Expand Up @@ -38,7 +38,7 @@ The mean accuracy and standard deviation are summarized in the following tables:
| -------- |----------|----------|----------|
| GMNN | 83.4 (0.8) | 73.0 (0.8) | 81.3 (0.5) |

The codes for unsupervised node representation learning are in the folder ```unsupervised```. The implementation corresponds to the variant ```GMNN With q and p``` in the Table 3 of the original paper. To run the codes, go to the folder ```unsupervised/codes``` and execute ```python run_cora.py```. Then the program will print the results over 50 runs with seeds 1~50.
The codes for unsupervised node representation learning are in the folder ```unsupervised```. The implementation corresponds to the variant ```GMNN With q and p``` in the Table 3 of the original paper. To run the codes, go to the folder ```unsupervised/codes``` and execute ```python run_cora.py```. Then the program will print the results over 50 runs.

The mean accuracy and standard deviation are summarized in the following tables:

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