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Graph Convolutional Networks with EigenPooling
Graph Neural Networks Explained: A Clear Guide to GNN Basics & Models
Pytorch Geometric tutorial: Graph pooling DIFFPOOL
Part114: understanding pooling in graph neural networks
An Introduction to Graph Neural Networks
Part 36: graph pooling for graph neural networks: progress, challenges, and opportunities
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.3 - Embedding Entire Graphs
Part153: maximal independent vertex set applied to graph pooling
Geometry-Aware Edge Pooling for Graph Neural Networks
CEE316 Guest Lecture 11: Machine Learning for Solid Mechanics. Graph Pooling
Part 39: MAXCUTPool: differentiable feature aware maxcut for pooling in graph neural networks
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Last Updated: August 19, 2026
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