3 papers
q-bio.MN2020
Incorporating network based protein complex discovery into automated model construction
Paul Scherer, Maja Trȩbacz, Nikola Simidjievski +4
We propose a method for gene expression based analysis of cancer phenotypes incorporating network biology knowledge through unsupervised construction of computational graphs. The s…
cs.LG2020
Learning distributed representations of graphs with Geo2DR
Paul Scherer, Pietro Lio
We present Geo2DR (Geometric to Distributed Representations), a GPU ready Python library for unsupervised learning on graph-structured data using discrete substructure patterns and…
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…