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• 自动化研究所 [57]
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• OAI收割 [123]

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• 期刊论文 [116]
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• 期刊 [1]

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• 4587 [1]
• 2026 [2]
• 2025 [6]
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浏览/检索结果: 共123条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data 期刊论文  OAI收割 ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 4587, 卷号: 19, 期号: 7, 页码: 130 作者:  Zhou, Jianping;  Bin Lu;  Liu, Zhanyu;  Pan, Siyu;  Feng, Xuejun   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 Traffic Data Imputation  Graph Neural Network   Mapping Chinese urban carbon emissions with a graph-based multi-branch deep learning framework 期刊论文  OAI收割 GISCIENCE & REMOTE SENSING, 2026, 卷号: 63, 期号: 1, 页码: 2631837 作者:  Shao, Wei;  Tu, Yue;  Yue, Tianxiang;  Zhao, Na;  Zhou, Haowei   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/03/16 Carbon dioxide emissions  graph neural network  deep learning  economic-emission coupling  influencing factors   Predicting inter-state cyberattacks with graph-text fusion using graph neural networks and large language models 期刊论文  OAI收割 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2026, 卷号: 165, 页码: 113465 作者:  Dong, Jiping();  Hao, Mengmeng();  Ding, Fangyu();  Chen, Shuai();  Wu, Jiajie   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Cyberattack prediction  Graph neural network  Large language model  Multimodal fusion  Bilateral relations   Edge-attentive graph convolutional network and positive-unlabeled framework for landslide susceptibility mapping 期刊论文  OAI收割 GONDWANA RESEARCH, 2025, 卷号: 148, 页码: 240-254 作者:  Wei, Ruilong;  Li, Yamei;  Li, Yao;  Wang, Zili;  Wu, Chunhao   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/10/29 Landslide susceptibility  Graph neural network  Positive-unlabeled learning   An Adaptive Graph Convolutional Network with Spatial Autocorrelation for Enhancing 3D Soil Pollutant Mapping Precision from Sparse Borehole Data 期刊论文  OAI收割 LAND, 2025, 卷号: 14, 期号: 7, 页码: 1348 作者:  Tao, Huan;  Li, Ziyang;  Nie, Shengdong;  Li, Hengkai;  Zhao, Dan   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/09/22 soil pollution  graph neural network  sparse samples  3D spatial interpolation  contaminated site   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：25/0  |  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：39/0  |  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：55/0  |  提交时间：2024/12/06 Trajectory-user linking  Graph neural network  Trajectory classification  Spatio-temporal data mining  Check-in data   ResGAT-F: a novel graph neural network-based approach for evaluating landing suitability in the lunar southern polar region 期刊论文  OAI收割 International Journal of Digital Earth, 2025, 卷号: 18, 期号: 1 作者:  Shibo Wen;  Yongzhi Wang;  Xingyu Chen;  Qizhou Gong;  Jianzhong Liu   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/12/22 Lunar South Pole  landing Suitability  graph Neural Network  sensemble Learning  water Ice Detection   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：46/0  |  提交时间：2024/12/06 Graph neural network  Multi-robot systems  Agricultural task allocation  Multiple traveling salesmen problem  Reinforcement learning