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ML-Class-Project

Link prediction on academic paper citation graphs.

Usage

Requirements

  • Python 3.8
  • Pytorch 1.11.0 & Cuda 11.3
  • Conda or Miniconda

Setup

Run the following to set your environment up with the required packages.

conda create -n [ENVNAME]
source activate [ENVNAME]
conda env update --file environment.yml --prune 

To download and process the dataset, and generate title embeddings, run the following commands.

curl -f https://lfs.aminer.cn/lab-datasets/citation/DBLP-citation-network-Oct-19.tar.gz --output citation-network4.tar.gz
tar -xf citation-network4.tar.gz
python source/data_parsing.py
python source/embedding.py

Running Benchmarks

Toy GNN: python source/toy_gnn.py Deep GCN: python source/deep_gcn.py

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