14 citations · 20 across the 6 of their papers we have counts for
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cs.LG2019
Decoupling feature propagation from the design of graph auto-encoders
Paul Scherer, Helena Andres-Terre, Pietro Lio +1
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 ty…
cs.LG2019★ 1 cited
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders
Helena Andrés-Terré, Pietro Lió
The use of Variational Autoencoders in different Machine Learning tasks has drastically increased in the last years. They have been developed as denoising, clustering and generativ…
cs.LG2019★ 14 cited
Factorised Neural Relational Inference for Multi-Interaction Systems
Ezra Webb, Ben Day, Helena Andres-Terre +1
Many complex natural and cultural phenomena are well modelled by systems of simple interactions between particles. A number of architectures have been developed to articulate this…