( en | de | ru )

 

Disambiguation of "Thomas, Josephine"

Author of the publication

copydeleteadd this publication to your clipboard
Power flow forecasts at transmission grid nodes using Graph Neural Networks

, , , and . Energy and AI, 14 (1): 100262 (2023)
DOI: 10.1016/j.egyai.2023.100262

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Josephine Arnold

Josephine Walter

Josephine Berger

Josephine Mathias

Josephine Hesse

 

Other publications of authors with the same name

Power flow forecasts at transmission grid nodes using Graph Neural Networks, , , and . Energy and AI, 14 (1): 100262 (2023)Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs, , , , , , and . Neural Networks, (2024)Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network, , , and . Workshop on Temporal Graph Learning (TGL), NeurIPS, page 1--7. (2023)Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory., , , , , and . Briefings Bioinform., 19 (6): 1183-1202 (2018)Graph type expressivity and transformations., , , and . CoRR, (2021)The adoption and diffusion of data-exchange standards.. Loughborough University, UK, (2006)British Library, EThOS.Graph Neural Networks Designed for Different Graph Types: A Survey., , , and . CoRR, (2022)FDGNN: Fully Dynamic Graph Neural Network., , , and . CoRR, (2022)Complex network embedding in the hyperbolic space using non-linear unsupervised machine learning techniques.. Dresden University of Technology, Germany, (2017)Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space., , , , and . CoRR, (2016)