dmlc--dgl
Gan Quan
ac660f45ef
* [Doc] updated readme * contribution guide change * small edits * add perf # * Update README.md * Update README.md * add others... * rewrite scalability * model & code links * some note for treelstm * rewrite scalability
30 行
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Markdown
30 行
996 B
Markdown
# Relational-GCN
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* Paper: [https://arxiv.org/abs/1703.06103](https://arxiv.org/abs/1703.06103)
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* Author's code for entity classification: [https://github.com/tkipf/relational-gcn](https://github.com/tkipf/relational-gcn)
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* Author's code for link prediction: [https://github.com/MichSchli/RelationPrediction](https://github.com/MichSchli/RelationPrediction)
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### Prerequisites
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Two extra python packages are needed for this example:
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- rdflib
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- pandas
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Example code was tested with rdflib 4.2.2 and pandas 0.23.4
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### Entity Classification
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AIFB: accuracy 97.22% (DGL), 95.83% (paper)
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```
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DGLBACKEND=mxnet python entity_classify.py -d aifb --testing --gpu 0
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```
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MUTAG: accuracy 76.47% (DGL), 73.23% (paper)
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```
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DGLBACKEND=mxnet python entity_classify.py -d mutag --l2norm 5e-4 --n-bases 40 --testing --gpu 0
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```
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BGS: accuracy 79.31% (DGL, n-basese=20, OOM when >20), 83.10% (paper)
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```
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DGLBACKEND=mxnet python entity_classify.py -d bgs --l2norm 5e-4 --n-bases 20 --testing --gpu 0 --relabel
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```
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