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Code for our Reproducibility Challenge Paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks".

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models

models

 
 

.DS_Store

.DS_Store

 
 

README.md

README.md

 
 

evaluate_classif.py

evaluate_classif.py

 
 

main.ipynb

main.ipynb

 
 

model.py

model.py

 
 

model_Dropout.py

model_Dropout.py

 
 

preprocessing.py

preprocessing.py

 
 

test.ipynb

test.ipynb

 
 

train.py

train.py

 
 

train_notOptimized.py

train_notOptimized.py

 
 

update_embedding_once.ipynb

update_embedding_once.ipynb

 
 

validationEnhancing.ipynb

validationEnhancing.ipynb

 
 

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RE-Jodie-Recommander-System

Code for our Reproducibility Challenge Paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks".

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Code for our Reproducibility Challenge Paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks".

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