1 code implementation • 9 Jan 2023 • Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
In this work we propose SCENE, a methodology to encode diverse traffic scenes in heterogeneous graphs and to reason about these graphs using a heterogeneous Graph Neural Network encoder and task-specific decoders.
Ranked #1 on Node Classification on BGS
1 code implementation • 12 Dec 2022 • Daniel Frank, Decky Aspandi Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab
In this work, we represent a recurrent neural network as a linear time-invariant system with nonlinear disturbances.