no code implementations • 2 Aug 2022 • Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
Graph-based collaborative filtering is capable of capturing the essential and abundant collaborative signals from the high-order interactions, and thus received increasingly research interests.
no code implementations • 15 Apr 2021 • Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
We also find that the performance of some hyperbolic GCNs can be improved by simply replacing the graph operations with those we defined in this paper.
no code implementations • 27 Nov 2020 • Lyujie Chen, Xiaming Yuan, Yao Xiao, Yiding Zhang, Jihong Zhu
We have conducted extensive autonomous landing experiments in a variety of familiar or completely unknown environments, verifying that our model can adaptively balance the accuracy and speed, and the UAV can robustly select a safe landing site.
1 code implementation • 6 Dec 2019 • Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye
Graph neural network (GNN) has shown superior performance in dealing with graphs, which has attracted considerable research attention recently.