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筛选

浏览/检索结果: 共1102条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Prediction of mechanical properties of cross-linked polymer interface by graph convolution network 期刊论文  OAI收割 ACTA MECHANICA SINICA, 2026, 卷号: 42, 期号: 3, 页码: 12 作者:  王新天洋;  Liao LJ(廖丽涓);  Huang CG(黄晨光);  Wu XQ(吴先前)   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/08/18 Graph convolutional network  Molecular dynamic  Adhesive interface  Mechanical properties  Topology structure   Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2513048 作者:  Wang, Qiang;  Yu, Zhihang;  Wang, Shu;  Zhu, Yunqiang;  Dai, Xiaoliang   |  收藏  |  浏览/下载：15/0  |  提交时间：2025/07/18 Sustainable development pathways  ecological civilization pattern  recommender system  knowledge graph pruning  intent graph   Unravelling urban dynamics: understanding urban structures in Chinese cities using large-scale human location data 期刊论文  OAI收割 CITIES, 2025, 卷号: 164, 页码: 106096 作者:  Wang, Nan;  Yi, Jiawei;  Liang, Fuyuan;  Qian, Jiale;  Tu, Wenna   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/07/18 Urban dynamics  Location-based service data  Trajectory-Polycentricity Structure Graph  Model  Structure stability  Chinese cities   Accelerating fluid simulations with graph convolution network predicted flow fields 期刊论文  OAI收割 AEROSPACE SCIENCE AND TECHNOLOGY, 2025, 卷号: 164, 页码: 12 作者:     |  收藏  |  浏览/下载：5/0  |  提交时间：2025/08/18 Deep learning  Graph convolution networks  Reynolds-averaged Navier-Stokes simulations  Flow initialization   A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data 期刊论文  OAI收割 GEO-SPATIAL INFORMATION SCIENCE, 2025, 页码: 16 作者:  Yu, Jianing;  Zhang, Hengcai;  Wang, Peixiao;  Lu, Feng;  Ning, Jicai   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/10/13 Marine heatwaves (MHWs)  3D geospatial structure  4D spatio-temporal evolution  geospatial skeletons  graph algorithms  Northeast Pacific MHW  ENSO events  ocean temperature anomalies   Contrastive learning-based drug screening model for GluN1/GluN3A inhibitors 期刊论文  OAI收割 ACTA PHARMACOLOGICA SINICA, 2025, 页码: 13 作者:  Li, Kun;  Zeng, Yue;  Xiong, Yi-da;  Wu, Hao-chen;  Fang, Sui   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/08/20 drug-target affinity prediction  virtual screening  contrastive learning  graph neural network  N-methyl-D-aspartate (NMDA) receptors  GluN3A subunit.   A deep learning architecture for aligning cross-domain geographic knowledge graph 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2025, 卷号: N/A 作者:  Qiu, Qinjun;  Zheng, Shiyu;  Li, Jiali;  Tian, Miao;  Li, Zixuan   |  收藏  |  浏览/下载：25/0  |  提交时间：2025/04/21 Knowledge graph alignment  graph neural network  geographic text  geographic information retrieval  deep learning   Graphical models of dominant topologies of polymer-substrate adhesive-interfacial strength and toughness 期刊论文  OAI收割 ACTA MECHANICA SINICA, 2025, 卷号: 41, 期号: 3, 页码: 11 作者:  王新天洋;  Liao LJ(廖丽涓);  Wu XQ(吴先前);  Huang CG(黄晨光)   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/11/01 Graph theory  Molecular dynamics simulation  Strength and toughness  Highly cross-linked adhesive interface system  Dominant topological characteristics   Graphical models of dominant topologies of polymer-substrate adhesive-interfacial strength and toughness 期刊论文  OAI收割 ACTA MECHANICA SINICA, 2025, 卷号: 41 作者:  Wang, Xintianyang;  Liao, Lijuan;  Wu, Xianqian;  Huang, Chenguang   |  收藏  |  浏览/下载：79/0  |  提交时间：2024/11/20 Graph theory  Molecular dynamics simulation  Strength and toughness  Highly cross-linked adhesive interface system  Dominant topological characteristics   Multiplex graph fusion network with reinforcement structure learning for fraud detection in online e-commerce platforms 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2025, 卷号: 262, 页码: 12 作者:  Zhang, Zheng;  Ao, Xiang;  Tessone, Claudio J.;  Liu, Gang;  Zhou, Mingyang   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/12/06 Fraud detection  Graph neural networks  Graph structure learning  Metapath  Multigraph fusion