Serving Live Multimedia for the Linked Open Data Cloud. - Sebastian Serth; Stephan Haarmann; Lukas Faber (GI-Jahrestagung, 2017)

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 (BIBM, 2018)

Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds. - Erik Scharwächter; Fabian Geier; Lukas Faber; Emmanuel Müller (PAKDD (2), 2018)

Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. - Tara Safavi; Caleb Belth; Lukas Faber; Davide Mottin; Emmanuel Müller; Danai Koutra (ICDM, 2019)

Medley2K: A Dataset of Medley Transitions. - Lukas Faber; Sandro Luck; Damian Pascual; Andreas Roth; Gino Brunner; Roger Wattenhofer (CoRR, 2020)

Contrastive Graph Neural Network Explanation. - Lukas Faber; Amin K. Moghaddam; Roger Wattenhofer (CoRR, 2020)

When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods. - Lukas Faber; Amin K. Moghaddam; Roger Wattenhofer (KDD, 2021)

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks. - Pál András Papp; Karolis Martinkus; Lukas Faber; Roger Wattenhofer (NeurIPS, 2021)

Towards Robust Graph Contrastive Learning. - Nikola Jovanovic 001; Zhao Meng; Lukas Faber; Roger Wattenhofer (CoRR, 2021)

Should Graph Neural Networks Use Features, Edges, Or Both? - Lukas Faber; Yifan Lu; Roger Wattenhofer (CoRR, 2021)

Asynchronous Neural Networks for Learning in Graphs. - Lukas Faber; Roger Wattenhofer (CoRR, 2022)

DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees. - Peter Müller; Lukas Faber; Karolis Martinkus; Roger Wattenhofer (CoRR, 2022)

Neural Status Registers. - Lukas Faber; Roger Wattenhofer (ICML, 2023)

GwAC: GNNs With Asynchronous Communication. - Lukas Faber; Roger Wattenhofer (LoG, 2023)

GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks. - Peter Müller; Lukas Faber; Karolis Martinkus; Roger Wattenhofer (ICLR, 2024)

Explaining and Improving Communication in Graph Neural Networks. - Lukas Faber (2024)

MitoSkel: AI tool for semantic segmentation and quantification of mitochondria from light microscopy images. - Soumaya Zaghbani; Rubaiya Kabir Pranti; Lukas Faber; Ana J. Garcia-Saez (Biomed. Signal Process. Control., 2025)

Convolutional Neural Network approach to classify mitochondrial morphologies. - Soumaya Zaghbani; Lukas Faber; Ana J. Garcia-Saez (Comput. Biol. Chem., 2025)