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• OAI收割 [130]

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• 期刊论文 [123]
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• 期刊 [1]

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• 4587 [1]
• 2026 [4]
• 2025 [10]
• 2024 [32]
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浏览/检索结果: 共130条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 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：8/0  |  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：5/0  |  提交时间：2026/03/16 Carbon dioxide emissions  graph neural network  deep learning  economic-emission coupling  influencing factors   Graph-Agnostic Linear Transformers 期刊论文  OAI收割 NEURAL NETWORKS, 2026, 卷号: 198, 页码: 12 作者:  Guo, Zhiyu;  Liu, Yang;  Ao, Xiang;  Tang, Yateng;  Chen, Xinhuan   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/05/25 Graph neural network  Graph transformer  Linear attention  Graph-agnostic model   Graph-based fast-flux domain detection using graph neural networks 期刊论文  OAI收割 COMPUTER NETWORKS, 2026, 卷号: 278, 页码: 13 作者:  Xiong, Wei;  Wang, Yang;  Jiang, Haiyang;  Guan, Hongtao   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/05/25 Fast-flux domain detection  Network security  Graph representation  Graph sampling  Graph neural networks   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：3/0  |  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：3/0  |  提交时间：2025/10/29 Landslide susceptibility  Graph neural network  Positive-unlabeled learning   Cell-GraphCompass: modeling single cells with graph structure foundation model 期刊论文  OAI收割 NATIONAL SCIENCE REVIEW, 2025, 卷号: 12, 期号: 10, 页码: 14 作者:  Fang, Chen;  Cui, Wentao;  Hu, Zhilong;  Liu, Wenhao;  Chen, Shubai   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 single-cell  transcriptomics  foundation model  pre-training  graph neural network  knowledge embedding   SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 9, 页码: 3490-3503 作者:  Xue, Runzhen;  Yan, Mingyu;  Han, Dengke;  Xiao, Ziheng;  Tang, Zhimin   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 Semantics  Layout  Graph neural networks  Optimization  Vectors  Graphics processing units  Feature extraction  Design automation  Training  Hardware acceleration  Graph neural network (GNN)  hardware accelerator  heterogeneous graph neural network (HGNN)  semantic graph   DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion 期刊论文  OAI收割 IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2025, 卷号: 22, 期号: 4, 页码: 3646-3661 作者:  Zha, Chao;  Wang, Zhiyu;  Fan, Yifei;  Bai, Bing;  Zhang, Yinjie   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 Feature extraction  Payloads  Network intrusion detection  Telecommunication traffic  Vectors  Graph neural networks  Radio frequency  Data mining  Training  Technological innovation  Intrusion detection  flow modal  payload modal  bilinear fusion  semantic   Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 7, 页码: 4225-4238 作者:  Liu, Xin;  Zhang, Yuxiang;  Wu, Meng;  Yan, Mingyu;  He, Kun   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 Perturbation methods  Graph neural networks  Image edge detection  Data augmentation  Accuracy  Training  Measurement  Optimization  Detectors  World Wide Web  Edge perturbation  graph neural network  graph data augmentation  graph data attack