dmlc--dgl
Minjie Wang
708765f0a1
* rgcn module * support id input * WIP: model codes * use faster index select * dropout * self loop * WIP: link prediction * fix lint * WIP: docs * docstring * docstring * merge two child classes * mxnet rgcn module * fix lint * fix lint * fix rename bug * add uniform edge sampler * fix fn name * docstring * fix mxnet rgcn module * fix mx rgcn * enable test on cuda
Relational-GCN
- 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
Dependencies
Two extra python packages are needed for this example:
- MXNet nightly build
- requests
- rdflib
- pandas
pip install mxnet --pre
pip install requests rdflib pandas
Example code was tested with rdflib 4.2.2 and pandas 0.23.4
Entity Classification
AIFB: accuracy 97.22% (DGL), 95.83% (paper)
DGLBACKEND=mxnet python3 entity_classify.py -d aifb --testing --gpu 0
MUTAG: accuracy 73.53% (DGL), 73.23% (paper)
DGLBACKEND=mxnet python3 entity_classify.py -d mutag --l2norm 5e-4 --n-bases 40 --testing --gpu 0
BGS: accuracy 75.86% (DGL, n-basese=20, OOM when >20), 83.10% (paper)
DGLBACKEND=mxnet python3 entity_classify.py -d bgs --l2norm 5e-4 --n-bases 20 --testing --gpu 0 --relabel