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Mihai Cucuringu

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L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders

Feb 02, 2024
Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert

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Robust Angular Synchronization via Directed Graph Neural Networks

Oct 09, 2023
Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu

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Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects

Aug 01, 2023
Chao Zhang, Xingyue Pu, Mihai Cucuringu, Xiaowen Dong

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SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation

Jun 29, 2023
Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott

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Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models

May 11, 2023
Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren

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OFTER: An Online Pipeline for Time Series Forecasting

Apr 08, 2023
Nikolas Michael, Mihai Cucuringu, Sam Howison

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Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models

Dec 01, 2022
Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

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MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian

Sep 18, 2022
Yixuan He, Michael Permultter, Gesine Reinert, Mihai Cucuringu

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Graph similarity learning for change-point detection in dynamic networks

Mar 29, 2022
Deborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong

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DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series

Mar 28, 2022
Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert

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