graph-pooling topic
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
HGP-SL
Hierarchical Graph Pooling with Structure Learning
GMT
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
ASAP
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
himp-gnn
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
SRC
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
OTCoarsening
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Total-variation-graph-neural-networks
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
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 repr...