PiNet: Attention Pooling for Graph Classification

08/11/2020
by   Peter Meltzer, et al.
11

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.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset