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Jonas Linkerhägner

2 accepted papers

2025

Joint Graph Rewiring and Feature Denoising via Spectral Resonance

ICLR 2025oral

When learning from graph data, the graph and the node features both give noisy information about the node labels. In this paper we propose an algorithm to **j**ointly **d**enoise the features and **r**ewire the graph (JDR), which improves the performance of downstream node classification graph neura…

2023

Grounding Graph Network Simulators using Physical Sensor Observations

ICLR 2023poster

Physical simulations that accurately model reality are crucial for many engineering disciplines such as mechanical engineering and robotic motion planning. In recent years, learned Graph Network Simulators produced accurate mesh-based simulations while requiring only a fraction of the computational…