no code implementations • 18 Feb 2024 • Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan. Z. Li
Accurate prediction of protein-ligand binding structures, a task known as molecular docking is crucial for drug design but remains challenging.
3 code implementations • 27 May 2022 • Siyuan Li, Di wu, Fang Wu, Zelin Zang, Stan. Z. Li
We then propose an Architecture-Agnostic Masked Image Modeling framework (A$^2$MIM), which is compatible with both Transformers and CNNs in a unified way.
1 code implementation • 19 Oct 2021 • Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan. Z. Li
In this paper, we first review recent research emphasis and difficulties in modeling asynchronous event sequences with deep temporal point process, which can be concluded into four fields: encoding of history sequence, formulation of conditional intensity function, relational discovery of events and learning approaches for optimization.
no code implementations • 21 Jun 2021 • Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li
Recent years have witnessed great success in handling node classification tasks with Graph Neural Networks (GNNs).
1 code implementation • 16 May 2021 • Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li
In this survey, we extend the concept of SSL, which first emerged in the fields of computer vision and natural language processing, to present a timely and comprehensive review of existing SSL techniques for graph data.
1 code implementation • 4 Jan 2021 • Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan. Z. Li
We further propose the distance and orientation scaling terms to reduce the impacts of irregular spatial distribution.