Papers › PiNet: Attention Pooling for Graph Classification

PiNet: Attention Pooling for Graph Classification

11 Aug 2020arXiv:2008.04575archive 2025-07-28

Peter Meltzer, Marcelo Daniel Gutierrez Mallea, Peter J. Bentley

We propose PiNet, a generalised differentiable attention-based pooling mechanism for utilising graph convolution operations for graph level classification. We demonstrate high sample efficiency and superior performance over other graph neural networks in distinguishing isomorphic graph classes, as well as competitive results with state of the art methods on standard chemo-informatics datasets.

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ClassificationGeneral ClassificationGraph Classification

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Convolution

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