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• OAI收割 [53]
• iSwitch采集 [1]

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• 期刊论文 [41]
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• 2024 [1]
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• Agricultur... [1]
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• 地图学与地理信息系统 [1]

筛选

浏览/检索结果: 共54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发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Construction of Remote Sensing Indices Knowledge Graph (RSIKG) Based on Semantic Hierarchical Graph 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 1, 页码: 158 作者:  Wang, Chenliang;  Shi, Wenjiao;  Lv, Hongchen   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/02/05 remote sensing indices  knowledge graph  data analysis  semantic information  mathematical formulas parsing   So Many Heads, So Many Wits: Multimodal Graph Reasoning for Text-Based Visual Question Answering 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 12 作者:  Zheng, Wenbo;  Yan, Lan;  Wang, Fei-Yue   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/12/21 Graph attention  graph reasoning  multimodal graph  self-attention  text-based visual question answering   CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 226, 页码: 11 作者:  Zhu, Xiaofei;  Li, Chenghong   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/04 Network representation learning  Deep learning  Graph convolutional networks  Node classification   SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8902-8919 作者:  Gao, Lin;  Sun, Jia-Mu;  Mo, Kaichun;  Lai, Yu-Kun;  Guibas, Leonidas J.   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 3Dindoor scene synthesis  deep generative model  fine-grained mesh generation  graph neural network  recursive neural network  relationship graphs  variational autoencoder   Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation 期刊论文  OAI收割 INFORMATION SCIENCES, 2023, 卷号: 624, 页码: 324-343 作者:  Zhu, Xiaofei;  Tang, Gu;  Wang, Pengfei;  Li, Chenliang;  Guo, Jiafeng   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12 Recommendation system  Session-based recommendation  Graph neural network  Behavior modeling  Attention model  Representation learning   Integrating Relational Knowledge With Text Sequences for Script Event Prediction 期刊论文  OAI收割 IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: early access 作者:  Zikang Wang;  Linjing Li;  Daniel Zeng   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/03/20 Deep Graph Metric Learning for Weakly Supervised Person Re-Identification 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6074-6093 作者:  Meng, Jingke;  Zheng, Wei-Shi;  Lai, Jian-Huang;  Wang, Liang   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/11/14 Training  Cameras  Labeling  Probes  Visualization  Annotations  Loss measurement  Person re-identification  weakly supervised person re-identification  visual surveillance   An integrative analytical framework of water-energy-food security for sustainable development at the country scale: A case study of five Central Asian countries 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2022, 卷号: 607, 页码: 16 作者:  Hao, Lingang;  Wang, Ping;  Yu, Jingjie;  Ruan, Hongwei   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/09/21 Resource security  Water-energy-food nexus  Integrated method  Sustainable development  Central Asian countries   An integrative analytical framework of water-energy-food security for sustainable development at the country scale: A case study of five Central Asian countries 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2022, 卷号: 607, 页码: 16 作者:  Hao, Lingang;  Wang, Ping;  Yu, Jingjie;  Ruan, Hongwei   |  收藏  |  浏览/下载：11/0  |  提交时间：2022/09/21 Resource security  Water-energy-food nexus  Integrated method  Sustainable development  Central Asian countries   AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文  OAI收割 Transportation Research Part C, 2022, 期号: 99, 页码: 1-1 作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu   |  收藏  |  浏览/下载：49/0  |  提交时间：2022/04/08 Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning