MIT EI Seminar Max Welling Learning equivariant and hybrid message passing on graphs

MIT Embodied Intelligence Seminar May 8, 2020 Speaker: Max Welling University of Amsterdam and Qualcomm Title: Learning Equivariant and Hybrid Message Passing on Graphs. Abstract: In this talk I will extend graph neural nets in two directions. First, we will ask if we can formulate a GNN on meshes of two dimensional manifolds. Previous approaches mostly used standard GNNs which are invariant to permutations of the input nodes. However, we show this is unnecessarily restrictive. Instead, we define me