2 citations · 5 across the 5 of their papers we have counts for
5 papers
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Feng Xie, Xiang Zeng, Bin Zhou +1
Entity alignment (EA) which links equivalent entities across different knowledge graphs (KGs) plays a crucial role in knowledge fusion. In recent years, graph neural networks (GNNs…
Multi-Arm Robot Task Planning for Fruit Harvesting Using Multi-Agent Reinforcement Learning
Tao Li, Feng Xie, Ya Xiong +1
The emergence of harvesting robotics offers a promising solution to the issue of limited agricultural labor resources and the increasing demand for fruits. Despite notable advancem…
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
Feng Xie, Zhong Zhang, Liang Li +2
Epidemic forecasting is the key to effective control of epidemic transmission and helps the world mitigate the crisis that threatens public health. To better understand the transmi…
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting
Feng Xie, Zhong Zhang, Xuechen Zhao +2
The accurate forecasting of infectious epidemic diseases is the key to effective control of the epidemic situation in a region. Most existing methods ignore potential dynamic depen…
Long time well-posedness of compressible magnetohydrodynamics boundary layer equations in Sobolev space
Shengxin Li, Feng Xie
In this paper we consider the long time well-posedness of solutions to two dimensional compressible magnetohydrodynamics (MHD) boundary layer equations. When the initial data is a…