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Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.

License: Apache License 2.0

Python 100.00%
conve machine-learning deep-learning neural-network convolutional-neural-networks knowledge-graph knowledge-embedding network-embedding

conve's People

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meshiguge masashi-y lavine-qcc jhb115 kiranramnath007 shihanyang marspalliu

conve's Issues

About model training

Hi,your code is awesome,but i have one problem that I can't find answer in the paper.If the model not only training the parameters of the conv and fc,but also the embedding?or just training the conv and fc.Thanks you again.

YAGO3-10 results mismatch

I'm not getting results similar to what has been mentioned in the original paper on YAGO3-10.
All the hyperparameters are according to the paper -
embedding dim - 200
embed_drop - 0.2
feature_map_drop - 0.2,
lr - 0.001
opt - AdaGrad
loss - BCELoss

About the dataset

maybe your repositories have the file "train.csv" and "valid.csv".Can you tell me where I can download them?

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