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