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Hongzhi (Steve), Chen 704bcaf6dd | 1 year ago | |
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README.md | 3 years ago | |
entity_classify.py | 1 year ago | |
model.py | 1 year ago |
Two extra python packages are needed for this example:
pip install mxnet --pre
pip install requests rdflib pandas
Example 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
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》