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Titlebook: Spatial Data and Intelligence; 4th International Co Xiaofeng Meng,Xiang Li,Yafei Li Conference proceedings 2023 The Editor(s) (if applicabl

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41#
發(fā)表于 2025-3-28 17:01:17 | 只看該作者
CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Largeient descent GCN is added to the model. We have conducted extensive experiments on node classification tasks of multiple datasets. The experiments show that the model has excellent performance, especially in the dataset with a higher average clustering coefficient, and can achieve higher prediction
42#
發(fā)表于 2025-3-28 19:09:55 | 只看該作者
43#
發(fā)表于 2025-3-29 00:59:51 | 只看該作者
44#
發(fā)表于 2025-3-29 06:56:19 | 只看該作者
Influential Community Search Over Large Heterogeneous Information Networksvertices with high influence, the Reversed-Peel algorithm finds top-.-HICs in a high influence vertices composed set and thus is more efficient. Extensive experiments have been performed on three real large HINs, and the results show that the proposed methods are effective for searching top-.-HICs.
45#
發(fā)表于 2025-3-29 10:11:24 | 只看該作者
Continuous Sub-prevalent Co-location Pattern Miningel pattern, is proposed by defining the continuous sub-prevalent index. Then, an efficient algorithm is designed to mine the proposed patterns by utilizing the anti-monotonicity of continuous sub-prevalent index to prune unpromising patterns. Extensive experiments on synthetic and real datasets veri
46#
發(fā)表于 2025-3-29 12:00:06 | 只看該作者
The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model Based on Migration on correlation weight evaluation method is used to learn and fit the distribution characteristics of subsequences, to effectively describe the similarity and correlation effects between the distributions of each subsequence. At the same time, the attention mechanism is used to build the dynamic trai
47#
發(fā)表于 2025-3-29 19:30:17 | 只看該作者
48#
發(fā)表于 2025-3-29 22:17:29 | 只看該作者
Limin Guo,Dongze Li,Zhi Cai to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals’ information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these
49#
發(fā)表于 2025-3-30 01:37:56 | 只看該作者
to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals’ information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these
50#
發(fā)表于 2025-3-30 07:55:11 | 只看該作者
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