Knowledge discovery
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KDD: Where linear methods still have their place
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The Association for Computing Machinery’s annual conference on Knowledge Discovery and Data Mining (KDD) begins next week, marking 23 years since Christos ...

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Using knowledge graphs to streamline COVID-19 research
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Knowledge graphs are a way of organizing information so that it can be more productively explored and analyzed. Like all graphs, they consist of nodes — ...

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KDD: Graph neural networks and self-supervised learning
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As a Senior Program Committee member at this year’s Knowledge Discovery and Data Mining Conference (KDD), with a wide perspective on paper submissions, ...

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How AWS uses graph neural networks to meet customer needs
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Graphs are an information-rich way to represent data. A graph consists of nodes — typically represented by circles — and edges — typically represented as ...

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