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gain-group.de bewertung
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| G raphs in A rtificial I ntelligence and N eural Networks G raphs in A rtificial I ntelligence and N eural Networks --> Home Members Research Events News Work with us Contact GAIN - Project Welcome to the homepage of the junior research group " Graphs in Artificial Intelligence and Neural Networks " (GAIN)! We are working in one of the youngest and fastest growing research areas of Machine Learning, which is aiming to continue the success of Deep Learning to data represented by graphs. Currently, our focus is on the dynamics and explainability of Graph Neural Networks (GNNs) and their application to the power grid. By dynamic, we mean to develop GNN-algorithms that can deal with changes in the topology of a graph or changing graph attributes. In the simplest case that might be new appearing nodes or a change in an attribute describing a node. At the same time, we want our algorithms to be explainable, which means that either inherently or post-hoc our algorithms should give a |
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