中国科学院计算技术研究所机构知识库

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	SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 11, 页码: 6651-6665 作者:  Cao, Zongsheng;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：6/0  |  提交时间：2025/12/03 Cognition  Knowledge graphs  Representation learning  Semantics  Optimization  Logic  Accuracy  Data mining  Training  Artificial intelligence  Knowledge graph  logic query answering  semantic-aware learning  hierarchical reasoning optimization
	CL-DGCN: contrastive learning based deeper graph convolutional network for traffic flow data prediction 期刊论文 TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2025, 卷号: 203, 页码: 18 作者:  Zhang, Enwei;  Lv, Zhiqiang;  Cheng, Zesheng;  Ke, Jintao 收藏  |  浏览/下载：5/0  |  提交时间：2025/12/03 Multimodal transportation  Traffic flow prediction  Graph convolutional network  Hyperaggregation function
	Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation 期刊论文 ADVANCED ENGINEERING INFORMATICS, 2025, 卷号: 68, 页码: 28 作者:  Wang, Peng;  Hu, Qinyou;  Mei, Qiang;  Wang, Shaohua;  Yang, Yang;  Guo, Da;  Liu, Xiaotong;  Hu, Wenlong;  Chen, Jihong 收藏  |  浏览/下载：9/0  |  提交时间：2025/12/03 Spatiotemporal knowledge graph  Intelligent berth allocation  Multi-agent LLMs  Port logistics  Yangtze River Delta
	Learning to schedule dynamic job-shop problems by graph attention network with reinforcement learning 期刊论文 APPLIED INTELLIGENCE, 2025, 卷号: 55, 期号: 16, 页码: 16 作者:  Huang, Chao;  Hu, Haibo;  Zhou, Yan 收藏  |  浏览/下载：6/0  |  提交时间：2025/12/03 Job shop scheduling  Reinforcement learning  Graph attention network
	CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation 期刊论文 NEUROCOMPUTING, 2025, 卷号: 651, 页码: 12 作者:  Yin, Yabo;  Zhu, Xiaofei;  Huang, Kunyang;  Wang, Wenshan;  Zhang, Yihao;  Wang, Pengfei;  Fan, Yixing;  Guo, Jiafeng 收藏  |  浏览/下载：7/0  |  提交时间：2025/12/03 Multi-behavior recommendation  Self-supervised learning  Graph convolutional network
	DMutDE: Dual-View Mutual Distillation Framework for Knowledge Graph Embeddings 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 页码: 14 作者:  Liu, Ruizhou;  Wu, Zhe;  Wu, Yiling;  Cao, Zongsheng;  Xu, Qianqian;  Huang, Qingming 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Training  Data models  Predictive models  Cognition  Knowledge graphs  Electronic mail  Translation  Semantics  Noise  Costs  Knowledge distillation (KD)  knowledge graph (KG)  knowledge graph embedding (KGE)
	GRACE: An End-to-End Graph Processing Accelerator on FPGA With Graph Reordering Engine 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 10, 页码: 3816-3829 作者:  Fan, Haishuang;  Meng, Rui;  Sun, Qichu;  Wu, Jingya;  Lu, Wenyan;  Li, Xiaowei;  Yan, Guihai 收藏  |  浏览/下载：5/0  |  提交时间：2025/12/03 Field programmable gate arrays  Redundancy  Indexes  Graphics processing units  Central Processing Unit  Integrated circuit modeling  Computational modeling  Engines  Design automation  Data models  Accelerator  FPGA  Graph processing
	Cell-GraphCompass: modeling single cells with graph structure foundation model 期刊论文 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;  Chang, Shaole;  Long, Qingqing;  Li, Cong;  Liu, Yana;  Jiang, Haiping;  Wang, Pengfei;  Pan, Jia;  Hu, Guoping;  Liu, Guole;  Meng, Zhen;  Zhou, Yuanchun;  Chen, Linghui;  Feng, Guihai;  Li, Xin 收藏  |  浏览/下载：5/0  |  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 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;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：4/0  |  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
	GenCNN: A Partition-Aware Multi-Objective Mapping Framework for CNN Accelerators Based on Genetic Algorithm 期刊论文 ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 3, 页码: 26 作者:  Mu, Yudong;  Fan, Zhihua;  Li, Wenming;  Zhang, Zhiyuan;  An, Xuejun;  Fan, Dongrui;  Ye, Xiaochun 收藏  |  浏览/下载：5/0  |  提交时间：2025/12/03 CNN Accelerator  Dataflow Graph Mapping  Genetic Algorithm  Multi-objective Optimization