冥想后 发表于 2025-3-30 11:13:09
http://reply.papertrans.cn/47/4699/469847/469847_51.pngOutwit 发表于 2025-3-30 15:06:23
TGNN: A GNN-Based Method with Multi-entity Node for Personal Banking Time Prediction of banking records. In this paper, we propose a Tuple-node-based Graph Neural Network (TGNN) framework to learn representations of clients and services of banks and estimate the personal banking time based on the representations. Empirical studies on two real-world datasets collected from a fintechImpugn 发表于 2025-3-30 18:18:00
http://reply.papertrans.cn/47/4699/469847/469847_53.png帐单 发表于 2025-3-30 23:47:20
http://reply.papertrans.cn/47/4699/469847/469847_54.png易于出错 发表于 2025-3-31 02:36:56
Multi-objective Optimization Based Viscosity Prediction for Inks in Direct Ink Writing Numerical Sim and NSGA-II and TOPSIS are deployed to determine the model parameters and the final viscosity prediction result. Afterwards, the proposed method is validated by comparing the simulation and experimental results of profile of freeform extruded filaments (FEF). The proposed viscosity prediction metho得罪人 发表于 2025-3-31 09:02:32
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