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Keras implementation of path-based link prediction model for knowledge graph completion

License: MIT License

Python 92.44% Shell 7.56%
knowledge-graph lstm cnn keras lstm-cnn bi-lstm knowledge-graph-completion knowledge-graph-embeddings convolutional-neural-networks tensorflow

cnn-lstm-for-link-prediction's Introduction

LSTM-CNN for knowledge graph completion in Keras

### Required Files
  • data/processed_data.tar.gz - dataset files containing grounded paths with relations and entities (e.g e1, r1, e2, r2, e3).
  • tasks - can be downloaded from [1].

For generating relation paths such as (r1, r2, ..., rk), we used [2].

The original knowledge graph data we used for our experiments can be found in [1] which includes tasks datasets with train/test triples.

Reference:

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