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• OAI收割 [264]

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浏览/检索结果: 共264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：1/0  |  提交时间：2025/08/18 Graph convolutional network  Molecular dynamic  Adhesive interface  Mechanical properties  Topology structure   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   Trajectory-User Linking via Multi-Scale Graph Attention Network 期刊论文  OAI收割 PATTERN RECOGNITION, 2025, 卷号: 158, 页码: 16 作者:  Li, Yujie;  Sun, Tao;  Shao, Zezhi;  Zhen, Yiqiang;  Xu, Yongjun   |  收藏  |  浏览/下载：29/0  |  提交时间：2024/12/06 Trajectory-user linking  Graph neural network  Trajectory classification  Spatio-temporal data mining  Check-in data   Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach 期刊论文  OAI收割 SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106044 作者:  Wang, Peixiao;  Zhang, Hengcai;  Cheng, Shifen;  Zhang, Tong;  Lu, Feng   |  收藏  |  浏览/下载：22/0  |  提交时间：2025/02/24 Spatiotemporal prediction  Spatiotemporal data missing  Causal dilatation convolution  Graph attention network   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   Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29 作者:  Wang, Chunyang;  Yang, Kui;  Yang, Wei;  Li, Runkui;  Qiang, Haiyang   |  收藏  |  浏览/下载：81/0  |  提交时间：2024/02/19 Residual network  graph attention network  super-pixel segmentation  habitat quality  driving force analysis   Local context attention learning for fine-grained scene graph generation 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 156, 页码: 13 作者:  Zhu, Xuhan;  Wang, Ruiping;  Lan, Xiangyuan;  Wang, Yaowei   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/12/06 Fine-grained scene graph generation  Local context  Location attention network  Local context-consistent label transfer   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   GENNDTI: Drug-Target Interaction Prediction Using Graph Neural Network Enhanced by Router Nodes 期刊论文  OAI收割 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 12, 页码: 7588-7598 作者:  Yang, Beiyuan;  Liu, Yule;  Wu, Junfeng;  Bai, Fang;  Zheng, Mingyue   |  收藏  |  浏览/下载：23/0  |  提交时间：2025/01/14 DTI  interpretability  graph enhancement  prior knowledge  graph neural network  DTI  interpretability  graph enhancement  prior knowledge  graph neural network