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1 Ergebnisse
1
QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogene..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Liu, Yucheng
;
Gao, Zipeng
;
Liu, Xiangyang
... - p. 1572-1582 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599479
RT T1
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction
UL https://suche.suub.uni-bremen.de/peid=acm-3599479&Exemplar=1&LAN=DE A1 Liu, Yucheng A1 Gao, Zipeng A1 Liu, Xiangyang A1 Luo, Pengfei A1 Yang, Yang A1 Xiong, Hui PB ACM YR 2023 K1 bankruptcy prediction K1 graph neural network (gnn) K1 quantity-imbalance K1 topology-imbalance SP 1572 OP 1582 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599479 DO https://dl.acm.org/doi/10.1145/3580305.3599479 SF ELIB - SuUB Bremen
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