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pro vyhledávání: '"Ming, Xuehua"'
Autor:
Geng, Hao, Wang, Deqing, Zhuang, Fuzhen, Ming, Xuehua, Du, Chenguang, Jiang, Ting, Guo, Haolong, Liu, Rui
Accurate citation count prediction of newly published papers could help editors and readers rapidly figure out the influential papers in the future. Though many approaches are proposed to predict a paper's future citation, most ignore the dynamic het
Externí odkaz:
http://arxiv.org/abs/2305.17417
Autor:
Wan, Ziming, Wang, Deqing, Ming, Xuehua, Zhuang, Fuzhen, Du, Chenguang, Jiang, Ting, Zhao, Zhengyang
Heterogeneous graph neural networks (HGNNs) have been widely applied in heterogeneous information network tasks, while most HGNNs suffer from poor scalability or weak representation when they are applied to large-scale heterogeneous graphs. To addres
Externí odkaz:
http://arxiv.org/abs/2211.11752