Lukas Faber

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Gene Expression

Graph Representation

Redundancy Reduction

Top Venues

Publications

Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks. ICLR (2024)
Lukas Faber, Roger Wattenhofer
GwAC: GNNs With Asynchronous Communication. LoG (2023)
Lukas Faber, Roger Wattenhofer
Neural Status Registers. ICML (2023)
Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees. CoRR (2022)
Lukas Faber, Roger Wattenhofer
Asynchronous Neural Networks for Learning in Graphs. CoRR (2022)
Lukas Faber, Yifan Lu, Roger Wattenhofer
Should Graph Neural Networks Use Features, Edges, Or Both? CoRR (2021)
Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer
When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods. KDD (2021)
Nikola Jovanovic, Zhao Meng, Lukas Faber, Roger Wattenhofer
Towards Robust Graph Contrastive Learning. CoRR (2021)
Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks. NeurIPS (2021)
Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks. CoRR (2021)
Lukas Faber, Sandro Luck, Damian Pascual, Andreas Roth, Gino Brunner, Roger Wattenhofer
Medley2K: A Dataset of Medley Transitions. CoRR (2020)
Lukas Faber, Roger Wattenhofer
Neural Status Registers. CoRR (2020)
Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer
Contrastive Graph Neural Network Explanation. CoRR (2020)
Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. ICDM (2019)
Cindy Perscheid, Lukas Faber, Milena Kraus, Paul Arndt, Michael Janke, Sebastian Rehfeldt, Antje Schubotz, Tamara Slosarek, Matthias Uflacker
A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data. BIBM (2018)
Erik Scharwächter, Fabian Geier, Lukas Faber, Emmanuel Müller
Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds. PAKDD (2) (2018)
Sebastian Serth, Stephan Haarmann, Lukas Faber
Serving Live Multimedia for the Linked Open Data Cloud. GI-Jahrestagung (2017)