A repo for baseline of graph pooling.
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Updated
Nov 14, 2022 - Python
A repo for baseline of graph pooling.
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
Papers on Graph Pooling for GNN and their bioinformatics application
Software implementation of Pyramidal Reservoir Graph Neural Networks
Code and dataset to test empirically the expressive power of graph pooling operators.
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
Using Graph Attention NN for image embedding and classification
HiCAP---Hierarchical Clustering-based Attention Pooling for Graph Representation Learning
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
Self-Attention Graph Pooling [ICML-2019]
[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
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…
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
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