Non-Local Graph Neural Networks

Modern graph neural networks (GNNs) learn node embeddings through multilayer local aggregation and achieve great success in applications on assortative graphs. However, tasks on disassortative graphs usually require non-local aggregation. In addition, we find that local aggregation is even harmful f...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 09. Dez., Seite 10270-10276
Auteur principal:	Liu, Meng (Auteur)
Autres auteurs:	Wang, Zhengyang, Ji, Shuiwang
Format:	Article en ligne
Langue:	English
Publié:	2022
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, U.S. Gov't, Non-P.H.S.