This repo is to present various code demos on how to use our Graph4NLP library.

Related tags

Deep Learninggraph4nlp_demo
Overview

Deep Learning on Graphs for Natural Language Processing Demo

The repository contains code examples for DLG4NLP tutorials at NAACL 2021, SIGIR 2021, KDD 2021, IJCAI 2021, AAAI 2022 and TheWebConf 2022.

Slides can be downloaded from here.

Get Started

You will need to install our graph4nlp library in order to run the demo code. Please follow the following environment setup instructions. Please also refer to the graph4nlp repository page for more details on how to use the library.

Environment setup

  1. Create virtual environment
conda create --name graph4nlp python=3.8
conda activate graph4nlp
  1. Install graph4nlp library
  • Clone the github repo
git clone -b [branch_version] https://github.com/graph4ai/graph4nlp.git
cd graph4nlp

Please choose the branch version corresponding to the demo version as shown in the table below.

demo version library branch version
[email protected] 2022 v0.5.5
TheWebConf 2022 v0.5.5
AAAI 2022 v0.5.5
CLIQ-ai 2021 stable_nov2021b
IJCAI 2021 stable_202108
KDD 2021 stable_202108
SIGIR 2021 stable
NAACL 2021 stable
  • Then run ./configure (or ./configure.bat if you are using Windows 10) to config your installation. The configuration program will ask you to specify your CUDA version. If you do not have a GPU, please choose 'cpu'.
./configure
  • Finally, install the package
python setup.py install
  1. Install other packages
pip install torchtext
pip install notebook
  1. Set up StanfordCoreNLP (for static graph construction only, unnecessary for this demo because preprocessed data is provided)
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000

Start Jupyter notebook and run the demo

After complete the above steps, you can start the jupyter notebook server to run the demo:

cd graph4nlp_demo/XYZ
jupyter notebook

Note that you will need to change XYZ to the specific folder name.

Additional Resources:

Owner
Graph4AI
Graph4AI
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