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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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an increasingly complex, fragmented and distributed news media environment. This includes examining how people encounter, consume and engage with news across digital platform s, social media and new technologies
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