no code implementations • 18 Oct 2019 • Paul Scherer, Helena Andres-Terre, Pietro Lio, Mateja Jamnik
We present two instances, L-GAE and L-VGAE, of the variational graph auto-encoding family (VGAE) based on separating feature propagation operations from graph convolution layers typically found in graph learning methods to a single linear matrix computation made prior to input in standard auto-encoder architectures.
2 code implementations • 21 May 2019 • Ezra Webb, Ben Day, Helena Andres-Terre, Pietro Lió
Many complex natural and cultural phenomena are well modelled by systems of simple interactions between particles.