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Open-ended Network Science based on the integrality of Yelp reviews.

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Exp Results
Exp Results
 
 
Toronto_data
Toronto_data
 
 
__pycache__
__pycache__
 
 
README.md
README.md
 
 
collaborative_filtering_baseline.py
collaborative_filtering_baseline.py
 
 
community_detection.py
community_detection.py
 
 
data_reader.py
data_reader.py
 
 
exp3-ml.ipynb
exp3-ml.ipynb
 
 
exp_(binary_link_prediction_chronological_split).ipynb
exp_(binary_link_prediction_chronological_split).ipynb
 
 
exp_binary_link_prediction_random_split_(prefered).ipynb
exp_binary_link_prediction_random_split_(prefered).ipynb
 
 
exp_deep_learning_pipeline.ipynb
exp_deep_learning_pipeline.ipynb
 
 
exp_machine_learning_pipeline.ipynb
exp_machine_learning_pipeline.ipynb
 
 
graph.py
graph.py
 
 
helpers.py
helpers.py
 
 
settings.py
settings.py
 
 

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Network_Science_Yelp_Dataset

Open-ended Network Science based on Yelp Reviews. To run the code, please download the Yelp Dataset, and unzip the files at the locations mentioned in settings.py

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Open-ended Network Science based on the integrality of Yelp reviews.

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  • Python 4.5%