Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
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Updated
Aug 21, 2024 - Python
Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
HiCAP---Hierarchical Clustering-based Attention Pooling for Graph Representation Learning
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
Using Graph Attention NN for image embedding and classification
A repo for baseline of graph pooling.
Self-Attention Graph Pooling [ICML-2019]
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
Software implementation of Pyramidal Reservoir Graph Neural Networks
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
Code and dataset to test empirically the expressive power of graph pooling operators.
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
Hierarchical Graph Pooling with Structure Learning
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