no code implementations • 11 Apr 2023 • Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been widely studied in a range of fields, including machine learning and data mining.
1 code implementation • 23 Feb 2023 • Fang Sun, Zhihao Zhan, Hongyu Guo, Ming Zhang, Jian Tang
In particular, GraphVF represents the first controllable geometry-aware, protein-specific molecule generation method, which can generate binding 3D molecules with tailored sub-structures and physio-chemical properties.
2 code implementations • 29 Oct 2022 • Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
Point-of-Interest (POI) recommendation plays a vital role in various location-aware services.
no code implementations • 30 Jan 2022 • Fang Sun
Over-smoothing is a severe problem which limits the depth of Graph Convolutional Networks.
no code implementations • CVPR 2020 • Banglei Guan, Ji Zhao, Zhang Li, Fang Sun, Friedrich Fraundorfer
In this paper we present four cases of minimal solutions for two-view relative pose estimation by exploiting the affine transformation between feature points and we demonstrate efficient solvers for these cases.