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浏览/检索结果: 共232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 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:  Lim, Wei Xian;  Jessica, Loh Sher En;  Lv Y(吕钰);  Kong, Adams WaiKin;  Chan, Wai Lee   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/08/18 Deep learning  Graph convolution networks  Reynolds-averaged Navier-Stokes simulations  Flow initialization   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：3/0  |  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：22/0  |  提交时间：2025/04/21 Knowledge graph alignment  graph neural network  geographic text  geographic information retrieval  deep learning   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：29/0  |  提交时间：2024/12/06 Fraud detection  Graph neural networks  Graph structure learning  Metapath  Multigraph fusion   Predicting origin-destination flows by considering heterogeneous mobility patterns 期刊论文  OAI收割 SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106015 作者:  Zhao, Yibo;  Cheng, Shifen;  Gao, Song;  Wang, Peixiao;  Lu, Feng   |  收藏  |  浏览/下载：23/0  |  提交时间：2025/02/24 Origin-destination flow  Spatial interaction  Urban mobility  Spatial heterogeneity  Imbalanced data learning  Graph attention network   The Construction of a Mountain Vegetation Knowledge Graph Incorporating With Geographical Principles, Maps, and Remote Sensing Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 4416215 作者:  Yao, Yonghui;  Liu, Yulian   |  收藏  |  浏览/下载：20/0  |  提交时间：2025/01/17 Vegetation mapping  Knowledge graphs  Spatiotemporal phenomena  Geoscience  Remote sensing  Data models  Ontologies  Data mining  Semantics  Geography  Climate change  Deep learning  geographical principles  geoscience knowledge graph (GKG)  remote sensing (RS)  spatiotemporal information  vegetation distribution   A reinforcement learning-based optimization method for task allocation of agricultural multi-robots clusters 期刊论文  OAI收割 COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 120, 页码: 15 作者:  Lu, Zaiwang;  Wang, Yancong;  Dai, Feng;  Ma, Yike;  Long, Long   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/12/06 Graph neural network  Multi-robot systems  Agricultural task allocation  Multiple traveling salesmen problem  Reinforcement learning   MetaTKG plus plus : Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 155, 页码: 12 作者:  Xia, Yuwei;  Zhang, Mengqi;  Liu, Qiang;  Wang, Liang;  Wu, Shu   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/09/09 Knowledge extraction  Temporal knowledge graph  Meta-learning  Evolution pattern   Explicit 3D reconstruction from images with dynamic graph learning and rendering-guided diffusion 期刊论文  OAI收割 NEUROCOMPUTING, 2024, 卷号: 601 作者:  Wu, Di;  Zhou, Linli;  Li, Jincheng;  Xiong, Jianqiao;  Song, Liangtu   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/11/22 Image-based reconstruction  Graph learning  Diffusion model   Graph Aggregating-Repelling Network: Do Not Trust All Neighbors in Heterophilic Graphs 期刊论文  OAI收割 NEURAL NETWORKS, 2024, 卷号: 178, 页码: 13 作者:  Wang, Yuhu;  Wen, Jinyong;  Zhang, Chunxia;  Xiang, Shiming   |  收藏  |  浏览/下载：25/0  |  提交时间：2024/09/09 Graph neural network  Homophily and heterophily  Graph representation learning