https://github.com/thunlp/dkrl
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI-2016)
https://github.com/thunlp/dkrl
knowledge-embedding
Last synced: 9 months ago
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Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI-2016)
- Host: GitHub
- URL: https://github.com/thunlp/dkrl
- Owner: thunlp
- License: mit
- Created: 2016-05-17T06:02:31.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2019-05-27T03:56:38.000Z (almost 7 years ago)
- Last Synced: 2025-04-25T11:41:44.418Z (about 1 year ago)
- Topics: knowledge-embedding
- Language: C++
- Homepage:
- Size: 13.2 MB
- Stars: 53
- Watchers: 6
- Forks: 17
- Open Issues: 6
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# DKRL
New: Add entity type information
# INTRODUCTION
Description-Embodied Knowledge Representation Learning (DKRL)
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)
Ruobing Xie
# COMPILE
Just type make in the folder ./
# NOTE
Pre-trained embeddings for entity/relation/word are optional.
We update both Structure-based Representations and Description-based Representations in this version. We can also fix Structure-based Representations pre-trained by other models and only update Description-based Representations.
# DATA
FB15k is published by the author of the paper "Translating Embeddings for Modeling Multi-relational Data (2013)."
[download]
You can also get FB15k from here: [download]
Entity list and descriptions of FB15k used in this work [download]
FB20k is based on FB15k and used for zero-shot scenario [download]
Entity type information for entity classification [download]
Entity name file [download]
# CITE
If the codes or datasets help you, please cite the following paper:
Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun. Representation Learning of Knowledge Graphs with Entity Descriptions. The 30th AAAI Conference on Artificial Intelligence (AAAI'16).