14 citations · 41 across the 11 of their papers we have counts for
11 papers
Efficient Link Prediction in Continuous-Time Dynamic Networks using Optimal Transmission and Metropolis Hastings Sampling
Ruizhi Zhang, Wei Wei, Qiming Yang +3
Efficient link prediction in continuous-time dynamic networks is a challenging problem that has attracted much research attention in recent years. A widely used approach to dynamic…
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process
Qiming Yang, Wei Wei, Ruizhi Zhang +2
Most real-world networks suffer from incompleteness or incorrectness, which is an inherent attribute to real-world datasets. As a consequence, those downstream machine learning tas…
Effects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma
Zhenyu Shi, Wei Wei, Xiangnan Feng +2
In recent years, Win-Stay-Lose-Learn rule has attracted wide attention as an effective strategy updating rule, and voluntary participation is proposed by introducing a third strate…
Graph Classification Based on Skeleton and Component Features
Xue Liu, Wei Wei, Xiangnan Feng +2
Most existing popular methods for learning graph embedding only consider fixed-order global structural features and lack structures hierarchical representation. To address this wea…
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…
Graphical Representation and Hierarchical Decomposition Mechanism for Vertex-Cover Solution Space
Wei Wei, Xiangnan Feng, Jiannan Wang +2
In this paper, solution space organization of minimum vertex-cover problem is deeply investigated using the König-Egérvary (KE) graph and theorem, in which a hierarchical decomposi…
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…
Optimal Stabilization of Boolean Networks through Collective Influence
Jiannan Wang, Sen Pei, Wei Wei +2
The stability of Boolean networks has attracted much attention due to its wide applications in describing the dynamics of biological systems. During the past decades, much effort h…
Exploring the Node Importance Based on von Neumann Entropy
Xiangnan Feng, Wei Wei, Jiannan Wang +2
When analyzing the statistical and topological characteristics of complex networks, an effective and convenient way is to compute the centralities for recognizing influential and s…