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Titlebook: Web and Big Data; 7th International Jo Xiangyu Song,Ruyi Feng,Geyong Min Conference proceedings 2024 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-28 17:51:27 | 只看該作者
42#
發(fā)表于 2025-3-28 20:29:31 | 只看該作者
43#
發(fā)表于 2025-3-29 02:20:21 | 只看該作者
,MacGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for?Moleceneration with SMILES strings. MacGAN leverages the robust architecture of GAN while incorporating a simple reward mechanism, making it suitable for larger datasets compared to computationally intensive Monte Carlo-based methods. Experimental results show effectiveness of MacGAN.
44#
發(fā)表于 2025-3-29 03:47:29 | 只看該作者
,Subgraph Federated Learning with?Global Graph Reconstruction,edGGR does not require any data exchange among clients and achieves remarkable enhancements in model performance. The experimental results on four benchmark datasets show that the proposed method excels with other state-of-the-art methods. We release our source code at ..
45#
發(fā)表于 2025-3-29 08:33:54 | 只看該作者
,Subgraph Federated Learning with?Global Graph Reconstruction,edGGR does not require any data exchange among clients and achieves remarkable enhancements in model performance. The experimental results on four benchmark datasets show that the proposed method excels with other state-of-the-art methods. We release our source code at ..
46#
發(fā)表于 2025-3-29 12:53:29 | 只看該作者
47#
發(fā)表于 2025-3-29 17:35:28 | 只看該作者
0302-9743 WAIM 2023, which took place in Wuhan, China, in October 2023...The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on?innovative ideas, original research findings, case study results, and experienced insights in the areas of the W
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發(fā)表于 2025-3-29 21:12:16 | 只看該作者
49#
發(fā)表于 2025-3-30 03:44:42 | 只看該作者
Hui Yin,Xiao Liu,Yutao Wu,Hilya Mudrika Arini,Rami Mohawesh
50#
發(fā)表于 2025-3-30 08:05:08 | 只看該作者
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