Lukas Faber

According to our database, Lukas Faber authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explaining and Improving Communication in Graph Neural Networks.

Lukas Faber

PhD thesis, 2024

GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks.

Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GwAC: GNNs With Asynchronous Communication.

Lukas Faber, Roger Wattenhofer

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Neural Status Registers.

Lukas Faber, Roger Wattenhofer

Proceedings of the International Conference on Machine Learning, 2023

2022

DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees.

Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer

CoRR, 2022

Asynchronous Neural Networks for Learning in Graphs.

Lukas Faber, Roger Wattenhofer

CoRR, 2022

2021

Should Graph Neural Networks Use Features, Edges, Or Both?

Lukas Faber, Yifan Lu, Roger Wattenhofer

CoRR, 2021

Towards Robust Graph Contrastive Learning.

Nikola Jovanovic, Zhao Meng, Lukas Faber, Roger Wattenhofer

CoRR, 2021

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks.

Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods.

Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Contrastive Graph Neural Network Explanation.

Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer

CoRR, 2020

Medley2K: A Dataset of Medley Transitions.

Lukas Faber, Sandro Luck, Damian Pascual, Andreas Roth, Gino Brunner, Roger Wattenhofer

CoRR, 2020

2019

Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket.

Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds.

Erik Scharwächter, Fabian Geier, Lukas Faber, Emmanuel Müller

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data.

Cindy Perscheid, Lukas Faber, Milena Kraus, Paul Arndt, Michael Janke, Sebastian Rehfeldt, Antje Schubotz, Tamara Slosarek, Matthias Uflacker

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Serving Live Multimedia for the Linked Open Data Cloud.

Sebastian Serth, Stephan Haarmann, Lukas Faber

Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017