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Guillaume Renton obtained his PhD from the University of Rouen in 2021. Since 2022, he is an assistant professor in the Multimedia Indexing and Data Integration (MIDI) team of ETIS at ENSEA. His domain of interest is on Machine Learning applied on structured data represented as graphs. A particular interest is given to the analysis and application of deep learning methods dedicated to graphs, called Graph Neural Networks.
- Machine Learning
- Graphs, Graph Neural Networks
- Deep Learning