3 citations · 4 across the 2 of their papers we have counts for
4 papers
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network
Xing Li, Wei Wei, Xiangnan Feng +1
Graphs are often used to organize data because of their simple topological structure, and therefore play a key role in machine learning. And it turns out that the low-dimensional e…
Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam
Zhenyu Shi, Wei Wei, Xiangnan Feng +2
Prisoner's dilemma game is the most commonly used model of spatial evolutionary game which is considered as a paradigm to portray competition among selfish individuals. In recent y…
Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs
Xing Li, Wei Wei, Xiangnan Feng +2
The graph structure is a commonly used data storage mode, and it turns out that the low-dimensional embedded representation of nodes in the graph is extremely useful in various typ…
Core Influence Mechanism on Vertex-Cover Problem through Leaf-Removal-Core Breaking
Xiangnan Feng, Wei Wei, Xing Li +1
Leaf-Removal process has been widely researched and applied in many mathematical and physical fields to help understand the complex systems, and a lot of problems including the min…