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cs.LG2024
Domain Adaptive Unfolded Graph Neural Networks
Zepeng Zhang, Olga Fink
Over the last decade, graph neural networks (GNNs) have made significant progress in numerous graph machine learning tasks. In real-world applications, where domain shifts occur an…
cs.LG2024★ 3 cited
Integrating Physics and Topology in Neural Networks for Learning Rigid Body Dynamics
Amaury Wei, Olga Fink
Rigid body interactions are fundamental to numerous scientific disciplines, but remain challenging to simulate due to their abrupt nonlinear nature and sensitivity to complex, ofte…
cs.LG2024★ 3 cited
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks
Zepeng Zhang, Olga Fink
Detecting and localizing leakages is a significant challenge for the efficient and sustainable management of water distribution networks (WDN). Leveraging the inherent graph struct…