QuatE
Implementation of paper "Quaternion Knowledge Graph Embedding"
Hyper-parameters for reproducing the reported results are provided in the train_QuatE_dataset.py.
It seems that we don't have to normalize the relation Quaternion.
How to run
- export LD_LIBRARY_PATH=/usr/local/lib:/usr/lib:/usr/local/lib64:/usr/lib64
- CUDA_VISIBLE_DEVICES=0 python3 train_QuatE_dataset.py
NOTE: the code is based on the OpenKE project.