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Published May 11, 2018 | Version v0.3
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MMKG: Multi-Modal Knowledge Graphs

  • 1. National University of Singapore
  • 2. The University of Hong Kong
  • 3. NEC Labs Europe

Description

We present MMKG , a collection of three knowledge graphs that contain both numerical features and images for all entities as well as entity alignments between pairs of KGs, to benchmark multi-relational link prediction and entity matching approaches. We believe this data set has the potential to facilitate the development of novel multimodal learning approaches for knowledge graphs. We validate the utility of MMKG in the sameAs link prediction task with an extensive set of experiments.

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nle-ml/mmkb-v0.3.zip

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