Skip to content

Latest commit

 

History

History
37 lines (21 loc) · 980 Bytes

readme.md

File metadata and controls

37 lines (21 loc) · 980 Bytes

Cross Diffusion

source code for Interacting Diffusion Processes for Event Sequence Forecasting

Run the Code

Dependencies


SciPy  

Numpy   

scikit-learn 

seaborn

pytorch >= 1.8.0

PrettyTable

matplotlib

Instructions

  1. Put the data folder inside the root folder, modify the data entry in run.sh accordingly. The datasets are available
  2. We have provided you Taobao and Amazon dataset under folder ./data/taobao and ./data/amazon, for more datasets please go to datasets

Credits

The following repositories are used in our code, either in close to original form or as an inspiration: