Representing Long-Range Context for Graph Neural Networks with Global Attention

Related tags

Deep Learningdeep-learningpytorchtransformergraph-neural-networks
Overview

Graph Augmentation

Graph augmentation/self-supervision/etc.

Algorithms

  • gcn
  • gcn+virtual node
  • gin
  • gin+virtual node
  • PNA
  • GraphTrans

Augmentation methods

  • None
  • FLAG
  • Augmentation

Installation

To setup the Python environment, please install conda first.

All the required environments are in setup.sh.

How to Run

To run experiments:

CUDA_VISIBLE_DEVICES=0 python main.py \
    --configs configs/code2/gcn-virtual/baseline+run1+seed.yml

# Or to use slurm
sbatch ./slurm-run.sh configs/code2/gcn-virtual/baseline+run1+seed.yml

Exps

GNN-Transformer

CUDA_VISIBLE_DEVICES=0 python main.py \
    --configs configs/code2/gnn-transformer/JK=cat/pooling=cls+norm_input.yml
Owner
UC Berkeley RISE
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UC Berkeley RISE
GitHub Repository
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