16 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 7 cited
Graph Reinforcement Learning for Power Grids: A Comprehensive Survey
Mohamed Hassouna, Clara Holzhüter, Pawel Lytaev +3
The increasing share of renewable energy and distributed electricity generation requires the development of deep learning approaches to address the lack of flexibility inherent in…
cs.LG2022★ 16 cited
Graph Neural Networks Designed for Different Graph Types: A Survey
Josephine M. Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing +1
Graphs are ubiquitous in nature and can therefore serve as models for many practical but also theoretical problems. For this purpose, they can be defined as many different types wh…