Mitigating Over-Smoothing and Over-Squashing Using Augmentations of Forman-Ricci Curvature. - Lukas Fesser; Melanie Weber 001 (LoG, 2023)

Augmentations of Forman's Ricci Curvature and their Applications in Community Detection. - Lukas Fesser; Sergio Serrano de Haro Iváñez; Karel Devriendt; Melanie Weber 001; Renaud Lambiotte (CoRR, 2023)

Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks. - Lukas Fesser; Richard Qiu; Luca D'Amico-Wong (CoRR, 2023)

Effective Structural Encodings via Local Curvature Profiles. - Lukas Fesser; Melanie Weber 001 (ICLR, 2024)

Unitary Convolutions for Learning on Graphs and Groups. - Bobak T. Kiani; Lukas Fesser; Melanie Weber 001 (NeurIPS, 2024)

STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers. - Daqian Shao; Lukas Fesser; Marta Kwiatkowska (CoRR, 2024)

Multimodal Medical Code Tokenizer. - Xiao-Rui Su 001; Shvat Messica; Yepeng Huang; Ruth Johnson; Lukas Fesser; Shanghua Gao; Faryad Sahneh; Marinka Zitnik (CoRR, 2025)

Enhancing the Utility of Higher-Order Information in Relational Learning. - Raphael Pellegrin; Lukas Fesser; Melanie Weber 001 (CoRR, 2025)

Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing. - Lukas Fesser; Melanie Weber 001 (CoRR, 2025)