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Knowledge Base Graph Attention Networks (KBGAT)

Various tests on ACL 2019 paper: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

Baseline code taken from relationPrediction.

Baselines

Direct reproduction of baselines is present in the baseline folder on Freebase and Wordnet. Scripts to reproduce the results are fb15.sh and wordnet.sh, and the corresponding outputs are fb15_out.txt and wordnet_out.txt, respectively.

Tests

  • Using only GAT trained model to evaluate the results (without ConvKB)

    Results present in folder baseline/ - file is test_gat.py and script is gatonly.sh

  • DISTMULT scoring function instead of TransE

    Results present in folder tests/distmult/

  • Random Initialization of Entity and Relational Embeddings instead of TransE

    Results present in folder tests/transe/

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