svjan5/GNNs-for-NLP
Tutorial repository with code examples for Graph Neural Networks applied to Natural Language Processing tasks.
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This repository accompanies an EMNLP 2019 and CODS-COMAD 2020 tutorial on Graph Neural Networks for NLP. It contains PyTorch and TensorFlow implementations of Graph Convolutional Networks, including simplified GCN models and references to extensions for relation extraction, word embeddings, and document time-stamping. The repository includes lecture slides and theoretical background on GCNs.
Frequently asked
- What is svjan5/GNNs-for-NLP?
- Tutorial repository with code examples for Graph Neural Networks applied to Natural Language Processing tasks.
- Is GNNs-for-NLP open source?
- Yes — svjan5/GNNs-for-NLP is an open-source project tracked on heatdrop.
- What language is GNNs-for-NLP written in?
- svjan5/GNNs-for-NLP is primarily written in Python.
- How popular is GNNs-for-NLP?
- svjan5/GNNs-for-NLP has 790 stars on GitHub.
- Where can I find GNNs-for-NLP?
- svjan5/GNNs-for-NLP is on GitHub at https://github.com/svjan5/GNNs-for-NLP.