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@@ -10,7 +10,9 @@ Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, and Meng Wang. DiffNet++: A
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3. Run DiffNet:
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1. Download the yelp data from this [link](https://drive.google.com/drive/folders/1hIkRDIVI87CUM4xFGjHMeipOlPz97ThX?usp=sharing), and unzip the directories in yelp data to the sub-directory named diffnet of your local clone repository.
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2. cd the sub-directory diffnet and execute the command `python entry.py --data_name=<data_name> --model_name=diffnet --gpu=<gpu id>`
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4. Run DiffNet++: cd the diffnet++ directory and execute the command `python entry.py --data_name=<data_name> --model_name=diffnetplus --gpu=<gpu id>`
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4. Run DiffNet++:
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1. Download datasets from this [link](https://drive.google.com/drive/folders/1YAJvgsCJLKDFPVFMX3OG7v3m1LAYZD5R?usp=sharing), and just put the downloaded folder 'data' in the sub-directory of diffnet++.
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2. cd the diffnet++ directory and execute the command `python entry.py --data_name=<data_name> --model_name=diffnetplus --gpu=<gpu id>`
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5. If you have any available gpu device, you can specify the gpu id, or you can just ignore the gpu id.
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Following are the examples:

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