Graph convolutional and attention models for entity classification in multilayer networks
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DOI: 10.1007/s41109-021-00420-4
Abstract: Graph Neural Networks (GNNs) are powerful tools that are nowadays reaching state of the art performances in a plethora of different tasks such as node classification, link prediction and graph classification. A challenging aspect in… read more here.
Keywords: classification; multilayer networks; entity classification; classification multilayer ... See more keywords
Using microtasks to crowdsource DBpedia entity classification: A study in workflow design
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DOI: 10.3233/sw-170261
Abstract: DBpedia is at the core of the Linked Open Data Cloud and widely used in research and applications. However, it is far from being perfect. Its content suffers from many flaws, as a result of… read more here.
Keywords: ontology; study; workflow design; entity classification ... See more keywords