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DyTSCL: Dynamic graph representation via tempo-structural contrastive learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 556, 页码: 8
作者:  Li, Jianian;  Bao, Peng;  Yan, Rong;  Shen, Huawei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Graph representation learning  Contrastive learning  Dynamic graph  Tempo-structural information  
Dynamic graph neural network-based fraud detectors against collaborative fraudsters 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 278, 页码: 12
作者:  Ren, Lingfei;  Hu, Ruimin;  Li, Dengshi;  Liu, Yang;  Wu, Junhang;  Zang, Yilong;  Hu, Wenyi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Telecom fraud detection  Collaborative fraud  Semi -supervised learning  Dynamic graph neural network  
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2023, 卷号: 41, 期号: 4, 页码: 23
作者:  Li, Qiming;  Zhang, Zhao;  Zhuang, Fuzhen;  Xu, Yongjun;  Li, Chao
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Knowledge graph  recommender system  topic model  
TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction 期刊论文
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 卷号: 177, 页码: 16
作者:  Lv, Yang;  Lv, Zhiqiang;  Cheng, Zesheng;  Zhu, Zhanqi;  Rashidi, Taha Hossein
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
An anomaly aware network embedding framework for unsupervised anomalous link detection 期刊论文
DATA MINING AND KNOWLEDGE DISCOVERY, 2023, 页码: 34
作者:  Duan, Dongsheng;  Zhang, Cheng;  Tong, Lingling;  Lu, Jie;  Lv, Cunchi;  Hou, Wei;  Li, Yangxi;  Zhao, Xiaofang
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Anomalous link detection  Network embedding  Graph auto-encoder  Graph convolution network  
Node classification across networks via category-level domain adaptive network embedding 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2023, 页码: 24
作者:  Shi, Boshen;  Wang, Yongqing;  Shao, Jiangli;  Shen, Huawei;  Li, Yangyang;  Cheng, Xueqi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Node classification across networks  Graph neural networks  Domain adaptation  Transfer learning  
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 7, 页码: 18
作者:  Li, Yong;  Li, Zhaoxuan;  Mei, Qiang;  Wang, Peng;  Hu, Wenlong;  Wang, Zhishan;  Xie, Wenxin;  Yang, Yang;  Chen, Yuhaoran
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
spatiotemporal graph neural network  traffic flow prediction  ship big data  AIS  port traffic prediction  
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2023, 卷号: 60, 期号: 4, 页码: 14
作者:  Huang, Junjie;  Xie, Ruobing;  Cao, Qi;  Shen, Huawei;  Zhang, Shaoliang;  Xia, Feng;  Cheng, Xueqi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Negative feedback  Signed social networks  Graph Neural Networks  Recommender system  
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry 期刊论文
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.;  Yang, Jie
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  
Importance First: Generating Scene Graph of Human Interest 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 27
作者:  Wang, Wenbin;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Key relationship  Hierarchical entity tree  Hierarchical contextual propagation  Relationship ranking  Spatial scale  Visual saliency