activity
20182023
most citedDynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam

11 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2023

Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification

Xue Liu, Qian Cheng, Dan Sun +3

Molecular fingerprints are significant cheminformatics tools to map molecules into vectorial space according to their characteristics in diverse functional groups, atom sequences,…

cs.LG2022

Parameter Convex Neural Networks

Jingcheng Zhou, Wei Wei, Xing Li +2

Deep learning utilizing deep neural networks (DNNs) has achieved a lot of success recently in many important areas such as computer vision, natural language processing, and recomme…

cs.LG2021★ 1 cited

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…

physics.soc-ph2020★ 11 cited

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…

cs.SI2020★ 3 cited

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…

cs.SI2018★ 1 cited

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…