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HyperPGNN

Codes for "Path-based Link Prediction on Hyper-relational Knowledge Graph", which has been accepted by IEEE CAI 2024.

installation

Firstly, you need to install PyTorch and CUDA. After that, you can proceed to PyG. The running environment is a Linux server with Ubuntu and an NVIDIA GeForce RTX 3090 GPU. The CUDA version is 11.3.1.

Running scripts

Use the following codes to reproduce the results for WD50k.

python script/run.py -c config/WD50k/wd50k.yaml

Replace the config path to run experiments on other datasets.

License

HyperPGNN is released under the MIT license.

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