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A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks
The paper discusses a pooling mechanism to induce subsampling in graph structured data and introduces it as a component of a graph convolutional neural network.
Ranked #33 on
Graph Classification
on COLLAB
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