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cs.LG2023
Sparse Training of Discrete Diffusion Models for Graph Generation
Yiming Qin, Clement Vignac, Pascal Frossard
Generative graph models struggle to scale due to the need to predict the existence or type of edges between all node pairs. To address the resulting quadratic complexity, existing…
cs.LG2023★ 1 cited
Causal Temporal Regime Structure Learning
Abdellah Rahmani, Pascal Frossard
Understanding causal relationships in multivariate time series is essential for predicting and controlling dynamic systems in fields like economics, neuroscience, and climate scien…
cs.LG2023
Tertiary Lymphoid Structures Generation through Graph-based Diffusion
Manuel Madeira, Dorina Thanou, Pascal Frossard
Graph-based representation approaches have been proven to be successful in the analysis of biomedical data, due to their capability of capturing intricate dependencies between biol…