Wei Wei

Orcid: 0000-0003-3747-9484

Affiliations:
  • Beihang University, School of Mathematics and Systems Sciences, Beijing, China
  • Peking University, Department of Mathematics, China (PhD 2009)


According to our database1, Wei Wei authored at least 31 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Link prediction by continuous spatiotemporal representation via neural differential equations.
Knowl. Based Syst., 2024

2023
Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space.
Appl. Math. Comput., December, 2023

A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding.
Eng. Appl. Artif. Intell., November, 2023

Bidirectional supervision: An effective method to suppress corruption and defection under the third party punishment mechanism of donation games.
Appl. Math. Comput., August, 2023

Representation Learning of Enhanced Graphs Using Random Walk Graph Convolutional Network.
ACM Trans. Intell. Syst. Technol., 2023

Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics.
CoRR, 2023

2022
Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation.
Pattern Recognit., 2022

Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies.
CoRR, 2022

Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure.
CoRR, 2022

Parameter Convex Neural Networks.
CoRR, 2022

Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process.
CoRR, 2022

Coupling group selection and network reciprocity in social dilemmas through multilayer networks.
Appl. Math. Comput., 2022

2021
Graph classification based on skeleton and component features.
Knowl. Based Syst., 2021

Representation learning of graphs using graph convolutional multilayer networks based on motifs.
Neurocomputing, 2021

A Graph Data Augmentation Strategy with Entropy Preserving.
CoRR, 2021

Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training.
CoRR, 2021

Effects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma.
CoRR, 2021

Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network.
CoRR, 2021

Research of Motif-Based Similarity for Link Prediction Problem.
IEEE Access, 2021

2020
Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam.
CoRR, 2020

Discriminative Embedding Autoencoder With a Regressor Feedback for Zero-Shot Learning.
IEEE Access, 2020

2019
Scalable Many-Field Packet Classification for Traffic Steering in SDN Switches.
IEEE Trans. Netw. Serv. Manag., 2019

Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover.
CoRR, 2019

Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning.
CoRR, 2019

2018
Core Influence Mechanism on Vertex-Cover Problem through Leaf-Removal-Core Breaking.
CoRR, 2018

2017
Research on Centralities Based on von Neumann Entropy for Nodes and Motifs.
CoRR, 2017

2015
Research on Solution Space of Bipartite Graph Vertex-Cover by Maximum Matchings.
CoRR, 2015

2014
Statistics and algorithms on the organization and quantitative analysis of minimal vertex covers.
CoRR, 2014

2009
Dynamical characteristics of software trustworthiness and their evolutionary complexity.
Sci. China Ser. F Inf. Sci., 2009

Complexity of software trustworthiness and its dynamical statistical analysis methods.
Sci. China Ser. F Inf. Sci., 2009


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