- Paper: https://arxiv.org/abs/1703.06103
- Author's code for entity classification: https://github.com/tkipf/relational-gcn
- Author's code for link prediction: https://github.com/MichSchli/RelationPrediction
Two extra python packages are needed for this example:
- MXNet nightly build
- requests
- rdflib
- pandas
pip install mxnet --pre
pip install requests rdflib pandasExample code was tested with rdflib 4.2.2 and pandas 0.23.4
AIFB: accuracy 97.22% (5 runs, DGL), 95.83% (paper)
DGLBACKEND=mxnet python3 entity_classify.py -d aifb --testing --gpu 0
MUTAG: accuracy 70.59% (5 runs, DGL), 73.23% (paper)
DGLBACKEND=mxnet python3 entity_classify.py -d mutag --l2norm 5e-4 --n-bases 40 --testing --gpu 0
BGS: accuracy 86.21% (5 runs, DGL, n-basese=20), 83.10% (paper)
DGLBACKEND=mxnet python3 entity_classify.py -d bgs --l2norm 5e-4 --n-bases 20 --testing --gpu 0