10 citations · 16 across the 6 of their papers we have counts for
6 papers
Betweenness Approximation for Edge Computing with Hypergraph Neural Network
Yaguang Guo, Wenxin Xie, Qingren Wang +2
Edge computing is highly demanded to achieve their full potentials Internet of Things (IoT), since various IoT systems have been generating big data facilitating modern latency-sen…
MUSE: Multi-faceted Attention for Signed Network Embedding
Dengcheng Yan, Youwen Zhang, Wei Li +1
Signed network embedding is an approach to learn low-dimensional representations of nodes in signed networks with both positive and negative links, which facilitates downstream tas…
PersonalityGate: A General Plug-and-Play GNN Gate to Enhance Cascade Prediction with Personality Recognition Task
Dengcheng Yan, Jie Cao, Yiwen Zhang +1
Cascade prediction estimates the size or the state of a cascade from either microscope or macroscope. It is of paramount importance for understanding the information diffusion proc…
Hypernetwork Dismantling via Deep Reinforcement Learning
Dengcheng Yan, Wenxin Xie, Yiwen Zhang +2
Network dismantling aims to degrade the connectivity of a network by removing an optimal set of nodes. It has been widely adopted in many real-world applications such as epidemic c…
Heterogeneous Information Network-based Interest Composition with Graph Neural Network for Recommendation
Dengcheng Yan, Wenxin Xie, Yiwen Zhang
Heterogeneous information networks (HINs) are widely applied to recommendation systems due to their capability of modeling various auxiliary information with meta-paths. However, e…
HyperCI: A Higher Order Collective Influence Measure for Hypernetwork Dismantling
Dengcheng Yan, Zijian Wu, Yi Zhang +3
The connectivity of networked systems is often dependent on a small portion of critical nodes. Network dismantling studies the strategy to identify a subset of nodes the removal of…