graph-pooling

There are 5 repositories under graph-pooling topic.

cszhangzhen / HGP-SL
Hierarchical Graph Pooling with Structure Learning
gcn graph graph-algorithms graph-classification graph-level-representation graph-neural-networks graph-pooling pytorch
Language:Python 342
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling".
graph-neural-networks graph-pooling spectral-clustering unsupervised-learning
Language:Python 276
JinheonBaek / GMT
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
graph-representation graph-representation-learning graph-pooling graph-multiset-pooling graph-multiset-transformer graph-classification graph-reconstruction graph-transformer graph-neural-networks pytorch graph
Language:Python 107
malllabiisc / ASAP
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
graph-classification graph-pooling graph-neural-networks pytorch graph-algorithms graph-level-representation gcn graph-convolution-network
Language:Python 101
rusty1s / himp-gnn
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
geometric-deep-learning graph-neural-networks graph-pooling junction-tree molecular-graph pytorch
Language:Python 80
danielegrattarola / SRC
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
deep-learning graph-neural-networks graph-pooling machine-learning tensorflow
Language:Python 62
ZhenyuYangMQ / Awesome-Graph-Level-Learning
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
deep-learning graph-datasets graph-neural-networks graph-pooling graph-level-learning graph-classification graph-clustering graph-regression edge-level-learning node-level-learning
59
harryjo97 / EHGNN
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
graph-representation graph-representation-learning graph-pooling graph-reconstruction graph-classification edge-pooling
Language:Python 53
FilippoMB / Simplifying-Clustering-with-Graph-Neural-Networks
Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".
graph-neural-networks spectral-clustering graph-clustering graph-classification graph-coarsening graph-pooling node-clustering
Language:Python 37
matenure / OTCoarsening
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
graph-neural-networks gnn graph-pooling unsupervised-graph-embedding optimal-transport
Language:Python 37
FilippoMB / The-expressive-power-of-pooling-in-GNNs
Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
expressiveness graph-neural-networks graph-pooling weisfeiler-lehman
Language:Python 36
AmayaGS / BioX-CPath
A biologically interpretable graph neural network for multistain computational pathology - CVPR 2025
computational-pathology gnn graph-pooling immunohistochemistry immunology xai biologically-aligned-algorithm multistain cvpr2025
Language:Python 24
cszhangzhen / MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
gnns graph-classification graph-pooling multi-view node-classification
Language:Python 24
FilippoMB / Total-variation-graph-neural-networks
Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
clustering graph-neural-network spectral-clustering graph-clustering total-variation-loss community-detection graph-pooling unsupervised-learning
Language:Python 20
NGMLGroup / Bayesian-Nonparametric-Graph-Pooling
Implementation of the BNPool layer and code to reproduce the experiments in "Bayesian Nonparametric GNNs for graph pooling and clustering".
bayesian-inference bayesian-nonparametrics graph-classification graph-neural-networks graph-pooling node-clustering
Language:Python 10
FilippoMB / Pyramidal-Reservoir-Graph-Neural-Networks
Official repository of the paper "Pyramidal Reservoir Graph Neural Networks".
graph-classification graph-neural-networks graph-pooling reservoir-computing
Language:Python 9
RoyKashob / HIBPool
[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
graph-classification graph-neural-networks graph-pooling information-bottleneck
Language:Jupyter Notebook 9
XiaShan1227 / Self-Attention-Graph-Pooling
Self-Attention Graph Pooling [ICML-2019]
attention-mechanism graph-classification graph-convolution graph-pooling deep-learning gnn pytorch-geometric global-pooling hierarchical-pooling
Language:Python 9
fork123aniket / Graph-Clustering-using-Graph-Neural-Networks-from-scratch
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
graph-clustering graph-neural-networks graph-pooling pytorch pytorch-geometric pytorch-implementation spectral-clustering spectral-models
Language:Python 7
NGMLGroup / MaxCutPool
Official repository of the paper "MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks" presented at ICLR 2025.
graph-classification graph-coarsening graph-neural-networks graph-pooling maxcut node-classification spectral-methods
Language:Python 5
NGMLGroup / Time-Series-Clustering-with-GNNs
Pytorch implementation of the Spatio-temporal GNN to cluster correlated time series
graph-coarsening graph-neural-networks graph-pooling multi-variate-time-series spatio-temporal-gnns time-series-clustering
Language:Python 5
codingClaire / GraphPoolingGarden
A repo for baseline of graph pooling.
graph graph-classification graph-pooling pooling-layers graph-deep-learning graph-neural-networks pyg pytorch
Language:Python 4
Hou-WJ / Graph-Pooling-Operators-and-Bioinformatics-Applications
Papers on Graph Pooling for GNN and their bioinformatics application
bioinformatics graph-classification graph-neural-networks graph-pooling
4
alizindari / High-resolution-image-embedding
Using Graph Attention NN for image embedding and classification
image-processing image-classification image-embedding graph-neural-networks graph-attention-networks graph-pooling multilayer-perceptron-network convolutional-neural-networks python pytorch
Language:Python 3
XiaShan1227 / ASAP
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
attention-mechanism deep-learning gcn global-pooling gnn graph-classification graph-convolution graph-pooling hierarchical-pooling topk asapooling
Language:Python 3
p-haddadian / MAGPool
Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
graph-classification graph-neural-networks graph-pooling pytorch-geometric
Language:Python 1
p-haddadian / HiCAP
HiCAP---Hierarchical Clustering-based Attention Pooling for Graph Representation Learning
graph-neural-networks graph-pooling pytorch-geometric
Language:Python 0
XiaShan1227 / Graph-U-Nets
Graph U-Nets [ICML-2019]
graph-pooling graph-unet u-net graph-unpool
Language:Python 0