https://github.com/Cartus/AGGCN

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
https://github.com/Cartus/AGGCN

deep-learning graph-convolutional-networks graph-neural-networks information-extraction nlp relation-extraction

Last synced: about 2 months ago
JSON representation

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

• Host: GitHub
• URL: https://github.com/Cartus/AGGCN
• Owner: Cartus
• License: mit
• Created: 2019-05-24T07:59:48.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-03-22T18:07:16.000Z (almost 3 years ago)
• Last Synced: 2024-08-11T17:08:17.837Z (5 months ago)
• Topics: deep-learning, graph-convolutional-networks, graph-neural-networks, information-extraction, nlp, relation-extraction
• Language: Python
• Homepage:
• Size: 194 MB
• Stars: 431
• Watchers: 7
• Forks: 88
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-gcn - Cartus/AGGCN_TACRED