Demo code of SEA.
The implementation is based on the code and data of MTransE. Thanks Dr.Muhao for his fundamental work and contributions.
This version is based on entity-level alignment, instead of triple-level alignment.
Contact: Shichao Pei (email@example.com)
To run the code, you need to have Python3 and Tensorflow installed.
Visit https://drive.google.com/file/d/1AsPPU4ka1Rc9u-XYMGWtvV65hF3egi0z/view to download the datasets.
The frequence of 20% or others need to be specified by manual, for example: 15000 records with frequence. you need to specify the frequence of 15000*(20%...) = 3000th entity in the whole record. I have not implemented the function for automatic opertion. I will finish it in later.