18 citations · 48 across the 8 of their papers we have counts for
5 papers · 1 filter
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…