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Despite the success of Graph Neural Networks (GNNs) on various applications, GNNs encounter significant performance degradation when the amount of supervision signals, i.e., number of labeled nodes, is limited, which is expected as GNNs are trained s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2c3aa9375c605f79c0900bd11591d8
