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README.md

Hierarchical Graph Representation Learning with Differentiable Pooling

Paper link: https://arxiv.org/abs/1806.08804

Author's code repo: https://github.com/RexYing/diffpool

This folder contains a DGL implementation of the DiffPool model. The first pooling layer is computed with DGL, and following pooling layers are computed with tensorized operation since the pooled graphs are dense.

Dependencies

  • PyTorch 1.0+

How to run

python train.py --dataset ENZYMES --pool_ratio 0.10 --num_pool 1
python train.py --dataset DD --pool_ratio 0.15 --num_pool 1  

Performance

ENZYMES 63.33% (with early stopping) DD 79.31% (with early stopping)

Dependencies

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