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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3163412
Abstract: Graph convolutional networks (GCNs) have attracted increasing research attention, which merits in its strong ability to handle graph data, such as the citation network or social network. Existing models typically use first-order neighborhood information to…
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Keywords:
regression;
robust graph;
relational network;
graph ... See more keywords
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Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.613
Abstract: Small sample learning aims to learn information about object categories from a single or a few training samples. This learning style is crucial for deep learning methods based on large amounts of data. The deep…
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Keywords:
classification;
meta learning;
relational network;
meta ... See more keywords