Local-Aggregation Graph Networks
Convolutional neural networks (CNNs) provide a dramatically powerful class of models, but are subject to traditional convolution that can merely aggregate permutation-ordered and dimension-equal local inputs. It causes that CNNs are allowed to only manage signals on Euclidean or grid-like domains (e...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 11 vom: 07. Nov., Seite 2874-2886
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| 1. Verfasser: |
Chang, Jianlong
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Lingfeng,
Meng, Gaofeng,
Zhang, Qi,
Xiang, Shiming,
Pan, Chunhong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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