no code implementations • 30 Sep 2022 • Xun Liu, Alex Hay-Man Ng, FangYuan Lei, Yikuan Zhang, Zhengmin Li
Graph Neural Networks (GNNs) are a promising deep learning approach for circumventing many real-world problems on graph-structured data.
no code implementations • 23 Jun 2021 • FangYuan Lei, Da Huang, Jianjian Jiang, Ruijun Ma, Senhong Wang, Jiangzhong Cao, Yusen Lin, Qingyun Dai
In deep learning area, large-scale image datasets bring a breakthrough in the success of object recognition and retrieval.
no code implementations • 2 Aug 2019 • FangYuan Lei, Xun Liu, Qingyun Dai, Bingo Wing-Kuen Ling, Huimin Zhao, Yan Liu
With higher-order neighborhood information of graph network, the accuracy of graph representation learning classification can be significantly improved.