Learning Dynamic Spatial-Temporal Dependence in Traffic Forecasting by Chaoyu Ren, Yuezhu Li

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Integrated perception-communication-logistics multi-objective oriented path planning for emergency UAVs by XU Yunpeng, XIE Yaqi, YU Ran, HOU Luyang, WANG Kailiang, XU Lianming

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Topology prediction for opportunistic network based on spatiotemporal convolution by Jian SHU, Jiawei SHI, Linlan LIU, Al-Kali Manar

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Novel similarity calculation method of multisource ontology based on graph convolution network by Liuqian SUN, Yuliang WEI, Bailing WANG

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Meta-path convolution based heterogeneous graph neural network algorithm by QIN Zhilong, DENG Kun, LIU Xingyan

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Prediction of the waterborne navigation density based on the multi-feature spatio-temporal graph convolution network by Wei DONG, Leilei ZHANG, Ziheng JIN, Wei SUN, Junbo GAO

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Predicting correlation relationships of entities between attack patterns and techniques based on word embedding and graph convolutional network by Weicheng QIU, Xiuzhen CHEN, Yinghua MA, Jin MA, Zhihong ZHOU

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Exploring Gait Recognition in Wild Nighttime Scenes by Haotian Li, Wenjuan Gong, Yutong Li, Yikai Wu, Kechen Li, Jordi Gonzàlez

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An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks by Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali

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Multi-channel spatial-temporal traffic flow prediction based on hybrid static-dynamic graph convolution by Xiongtao ZHANG, Jingyu ZHENG, Qing SHEN, Danfeng SUN, Yunliang JIANG

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A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network by Liqian Gao, Lishen Wei, Shichang Cui, Jiakun Fang, Xiaomeng Ai, Wei Yao, Jinyu Wen

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Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network by Xiang Yin, Junyang Yu, Xiaoyu Duan, Lei Chen, Xiaoli Liang

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Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation by Zhengshun Fei, Haotian Zhou, Jinglong Wang, Gui Chen, Xinjian Xiang

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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

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Recommendation model combining review’s feature and rating graph convolutional representation by Hailin FENG, Xiao ZHANG, Tongcun LIU

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sAMDGCN: sLSTM-Attention-Based Multi-Head Dynamic Graph Convolutional Network for Traffic Flow Forecasting by Shiyuan Zhang, Yanni Ju, Weishan Kong, Hong Qu, Liwei Huang

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DMR: disentangled and denoised learning for multi-behavior recommendation by Yijia Zhang, Wanyu Chen, Fei Cai, Zhenkun Shi, Feng Qi

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Multi-channel based edge-learning graph convolutional network by Shuai YANG, Ruiqin WANG, Hui MA

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MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia by Haiyuan Wang, Runlin Peng, Yuanyuan Huang, Liqin Liang, Wei Wang, Baoyuan Zhu, Chenyang Gao, Minxin Guo, Jing Zhou, Hehua Li, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

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Research on the graphical convolution neural network based benefits recommendation system strategy by Tao TAO, Zhen LI, Jibin WANG, Haiyong XU, Yong JIANG, Zhuo CEHN, Runbo ZHANG, Qingyuan HU

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