PTransE-ag (path-based TransE with aggregation) is a method for knowledge graph embedding. Note that our work is based on PTransE. Therefore, the code is modified based on PTransE (https://github.com/thunlp/KB2E). Here I only supply dataset FB15K. You can access https://github.com/thunlp/KB2E for more datasets.

You need to run PCRA.py firstly to generate required files. Then modify the files' paths in Test_Train_path.cpp and Train_PTransE-ag.cpp. Parameter beta is required for running trainning. For our paper's result, you can run ./Train_PTransE-ag 0.5.

According to the beta passed in training, run ./Test_PTransE-ag beta for evaluating.

execute ./Train_PTransE-pos 1