18 citations · 48 across the 8 of their papers we have counts for
8 papers
Cooperative Network Learning for Large-Scale and Decentralized Graphs
Qiang Wu, Yiming Huang, Yujie Zeng +3
Graph research, the systematic study of interconnected data points represented as graphs, plays a vital role in capturing intricate relationships within networked systems. However,…
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang, Yujie Zeng, Qiang Wu +1
Despite the recent successes of vanilla Graph Neural Networks (GNNs) on various tasks, their foundation on pairwise networks inherently limits their capacity to discern latent high…
Influential Simplices Mining via Simplicial Convolutional Network
Yujie Zeng, Yiming Huang, Qiang Wu +1
Simplicial complexes have recently been in the limelight of higher-order network analysis, where a minority of simplices play crucial roles in structures and functions due to netwo…
Predicting the popularity of information on social platforms without underlying network structure
Wu Leilei, Yi Lingling, Ren Xiao-Long +1
The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing. However, tradi…
Higher-order link prediction via local information
Bo Liu, Rongmei Yang, Linyuan Lü
Link prediction has been widely studied as an important research direction. Higher-order link prediction has gained especially significant attention since higher-order networks pro…
Complete cavity map of the C. elegans connectome
Bo Liu, Rongmei Yang, Hao Wang +1
Network structure or topology is the basis for understanding complex systems. Recently, higher-order structures have been considered as a new research direction that can provide ne…
Forecasting countries' gross domestic product from patent data
Yucheng Ye, Shuqi Xu, Manuel Sebastian Mariani +1
Recent strides in economic complexity have shown that the future economic development of nations can be predicted with a single "economic fitness" variable, which captures countrie…
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Liang Zhang, Qiang Wu, Jun Shen +3
Many studies confirmed that a proper traffic state representation is more important than complex algorithms for the classical traffic signal control (TSC) problem. In this paper, w…