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SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

SMORE is a a versatile framework that scales multi-hop query embeddings over KGs. SMORE can easily train query embeddings on Freebase KG with more than 86M nodes and 338M edges on a single machine. For more details, please refer to our paper.

Overview

Here is a README for the baselines in wikikgv2.

Steps

  1. Install the repo following README.md.
  2. Download and preprocess the dataset using smore/cpp_sampler/download_and_preprocess_wikikgv2.py.
  3. Run TransE/ComplEx scripts under smore/training/vec_scripts and smore/training/complex_scripts. Baselines include train_[shallow|mpnet|concat]_wikikgv2.sh. Also set the wikikgv2 save directory in the scripts.

License

SMORE is licensed under the Apache License, Version 2.0.

This is not an officially supported Google product.

Contact hyren@cs.stanford.edu and hadai@google.com for questions about the repo.