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VoVAllen a00636a02b [Tensorflow] Several nn & example (#1191 )

* several nn example

* appnp

* fix lint

* lint

* add dgi

* fix

* fix

* fix

* fff

* docs

* 111

* fix

* change init

* change result

* tiaocan+1

* fix

* fix lint

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2020-01-19 22:48:40 +08:00

entity_classify.py

[Tensorflow] Several nn & example (#1191 )

2020-01-19 22:48:40 +08:00

model.py

[Tensorflow] Several nn & example (#1191 )

2020-01-19 22:48:40 +08:00

README.md

[Tensorflow] Several nn & example (#1191 )

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utils.py

[Tensorflow] Several nn & example (#1191 )

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README.md

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

Tensorflow 2.1+
requests
rdflib
pandas

pip install requests torch 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)

python3 entity_classify.py -d aifb --testing --gpu 0

MUTAG: accuracy 75% (DGL), 73.23% (paper)

python3 entity_classify.py -d mutag --l2norm 5e-4 --n-bases 30 --testing --gpu 0

BGS: accuracy 79.3% (DGL n-base=25), 83.10% (paper n-base=40)

python3 entity_classify.py -d bgs --l2norm 5e-4 --n-bases 25 --testing --gpu 0 --relabel