ML Anthology

Faber, Lukas

6 publications

ICLR 2024 GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
ICMLW 2023 GraphChef: Learning the Recipe of Your Dataset Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
LoG 2023 GwAC: GNNs with Asynchronous Communication Lukas Faber, Roger Wattenhofer
ICML 2023 Neural Status Registers Lukas Faber, Roger Wattenhofer
NeurIPS 2021 DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer
NeurIPSW 2020 Learning Lower Bounds for Graph Exploration with Reinforcement Learning Jorel Elmiger, Lukas Faber, Pankaj Khanchandani, Oliver Paul Richter, Roger Wattenhofer