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of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges
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thesis in the field of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously
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prepare and defend a doctoral dissertation. Within the framework of the FWO SBO interdisciplinary project DINEMO (Distribution Network Management Optimisation), which aims to address systemic bottlenecks
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; Prof. Stephanie Van de Voorde and Ine Wouters), financial geography, circular economy, global production networks, urban metabolism and just transition (Cosmopolis Centre for Urban Research – COSM; prof