graph4ai/graph4nlp
A PyTorch-based library providing graph neural network implementations and flexible interfaces for NLP tasks.
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Graph4NLP is a library for research and development at the intersection of deep learning on graphs and natural language processing. It offers full implementations of state-of-the-art graph neural network models for NLP alongside flexible APIs for building customized models. The library is built atop DGL (Deep Graph Library) and PyTorch, providing optimized runtime for training and inference with end-to-end pipeline support including data processing and model evaluation.
Frequently asked
- What is graph4ai/graph4nlp?
- A PyTorch-based library providing graph neural network implementations and flexible interfaces for NLP tasks.
- Is graph4nlp open source?
- Yes — graph4ai/graph4nlp is open source, released under the Apache-2.0 license.
- What language is graph4nlp written in?
- graph4ai/graph4nlp is primarily written in Python.
- How popular is graph4nlp?
- graph4ai/graph4nlp has 1.7k stars on GitHub.
- Where can I find graph4nlp?
- graph4ai/graph4nlp is on GitHub at https://github.com/graph4ai/graph4nlp.