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LibKGE - A knowledge graph embedding library for reproducible research
Samuel Broscheit
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Daniel Ruffinelli
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Adrian Kochsiek
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Patrick Betz
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Rainer Gemulla
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Paper Details:
Month: October
Year: 2020
Location: Online
Venue:
EMNLP |
Citations
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https://github.com/uma-pi1/kge
https://ax.dev/
https://github.com/uma-pi1/kge/blob/master/docs/examples/train_
https://github.com/uma-pi1/kge
https://github.com/pykeen/pykeen
https://github.com/Accenture/AmpliGraph
https://github.com/thunlp/OpenKE
https://github.com/DeepGraphLearning/graphvite
https://github.com/awslabs/dgl-ke
https://github.com/facebookresearch/PyTorch-BigGraph
https://github.com/samehkamaleldin/libkge
https://github.com/facebookresearch/kbc
https://github.com/tensorflow/neural-structured-learning/tree/master/research/kg
https://github.com/TimDettmers/ConvE
https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding
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