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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2023     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择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提交时间升序提交时间降序 Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14 作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi 收藏  |  浏览/下载：0/0  |  提交时间：2024/02/22 Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)   Static-dynamic global graph representation for pedestrian trajectory prediction 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 277, 页码: 13 作者:  Zhou, Hao;  Yang, Xu;  Fan, Mingyu;  Huang, Hai;  Ren, Dongchun 收藏  |  浏览/下载：5/0  |  提交时间：2023/11/17 Trajectory prediction  Social interaction  Global graph representation   Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14 作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng 收藏  |  浏览/下载：2/0  |  提交时间：2023/11/17 Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning   Multi-Source Knowledge Reasoning Graph Network for Multi-Modal Commonsense Inference 期刊论文 ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 4, 页码: 17 作者:  Ma, Xuan;  Yang, Xiaoshan;  Xu, Changsheng 收藏  |  浏览/下载：1/0  |  提交时间：2023/11/17 Knowledge reasoning  multi-modal commonsense inference  graph neural network   STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238 作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen 收藏  |  浏览/下载：15/0  |  提交时间：2023/01/03 Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction