===== DATA =====

I provide FB15k datasets used for the task Knowledge Base Completion with the input format in [Download]

Dataset contains six files:

• train.txt: training file, format (e1, e2, rel).

• valid.txt: validation file, same format as train.txt

• test.txt: test file, same format as train.txt.

• entity2id.txt: all entities and corresponding ids, one per line.

• relation2id.txt: all relations and corresponding ids, one per line.

• e1_e2.txt: all top-500 entity pairs mentioned in the task entity prediction.

===== CODE =====

In the folder PTransE_add/, PTransE_mul/, PTransE_RNN/:

===== COMPILE =====

Just type make in the folder ./

== TRAINING ==

For training, You need follow the step below:

1. Data preprocessing: python PCRA.py

2. call Train_TransE_path in the corresponding directory. ./Train_TransE_path 1

== TESTING ==

For testing, You need follow the step below:

call Test_TransE_path in the corresponding directory. ./Test_TransE_path 1

It will evaluate on test.txt and report mean rank and Hits@1, the format is tier: head_mean_rank(Raw) head_hit@1(Raw), head_mean_rank(Filter) head_hit@1(Filter), tail_mean_rank(Raw) tail_hit@1(Raw), tail_mean_rank(Filter) tail_hit@1(Filter) relation_mean_rank(Raw) relation_hit@1(Raw), relation_mean_rank(Filter) relation_hit@1(Filter)