A curated list of papers on graph pooling (More than 150 papers reviewed).

We provide a taxonomy of existing papers as shown in the above figure.

Papers in each category are sorted by their uploaded dates in descending order.

If you find this repository useful for your research, please consider citing our paper [arXiv]

@article{liu2022graph,
    title={Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities},
    author={Chuang Liu and Yibing Zhan and Chang Li and Bo Du and Jia Wu and Wenbin Hu and Tongliang Liu and Dacheng Tao},
    year={2022},
    journal={arXiv preprint arXiv:2204.07321},
}

• Analysis Papers

• Flat Pooling

• Hierarchical Pooling

  • Node Clustering Pooling
  • Node Drop Pooling
  • Other Pooling

• Applications

1. Rethinking pooling in graph neural networks, NIPS 2020.

2. Understanding Pooling in Graph Neural Networks, ArXiv 2021.

3. A Fair Comparison of Graph Neural Networks for Graph Classification, ICLR 2020.

4. Graph Signal Processing and Deep Learning, IEEE Signal Processing Magazine 2020.

5. Revisiting Global Pooling through the Lens of Optimal Transport, ArXiv 2022.

6. Graph Neural Networks with Adaptive Readouts, NeurIPS 2022.