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1 Ergebnisse
1
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling..:
, In:
Proceedings of the ACM Web Conference 2022
,
Du, Lun
;
Shi, Xiaozhou
;
Fu, Qiang
... - p. 1550-1558 , 2022
Link:
https://dl.acm.org/doi/10.1145/3485447.3512201
RT T1 <cTitle>Proceedings of the ACM Web Conference 2022</cTitle>: T1 <Title>GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3512201&Exemplar=1&LAN=DE A1 Du, Lun A1 Shi, Xiaozhou A1 Fu, Qiang A1 Ma, Xiaojun A1 Liu, Hengyu A1 Han, Shi A1 Zhang, Dongmei PB ACM YR 2022 K1 graph mining K1 graph neural networks K1 heterophily K1 homophily K1 Information systems K1 Human-centered computing K1 Computing methodologies K1 Information systems applications K1 Machine learning K1 Data mining K1 Machine learning approaches SP 1550 OP 1558 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3485447.3512201 DO https://dl.acm.org/doi/10.1145/3485447.3512201 SF ELIB - SuUB Bremen
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