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Research article

First published 2022-9

Influence maximization based on network representation learning in social network

Zhibin Wang, Xiaoliang Chen, Xianyong Li [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2019-7

Attributed network representation learning via DeepWalk

Hao Wei, Zhisong Pan, Guyu Hu [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2021-5

Graph input representations for machine learning applications in urban network analysis

Alessio Pagani, Abhinav Mehrotra, Mirco Musolesi

Environment and Planning B: Urban Analytics and City Science

Free access

Research article

First published 2024-1

A review on network representation learning with multi-granularity perspective

Shun Fu, Lufeng Wang, Jie Yang

Intelligent Data Analysis: An International Journal

Open access

Research article

First published 2024-12

An Empirical Evaluation of Network Representation Learning Methods

Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie

Big Data

Open access

Research article

First published 2022-4-6

Network representation learning method embedding linear and nonlinear network structures

Hu Zhang, Jingjing Zhou, Ru Li [...]

Semantic Web: – Interoperability,Usability,Applicability

Open access

Review article

First published 2026-4

Representation learning of crystal materials using Graph Neural Networks: Passive symmetry challenges and advances

Jie Cui, Chenglei Han, Jiyao Liang [...]

Science Progress

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Research article

First published 2022-7

Identifying Market Structure: A Deep Network Representation Learning of Social Engagement

Yi Yang, Kunpeng Zhang, P.K. Kannan

Journal of Marketing

Open access

Research article

First published 2017-4

Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries

Rui Wang, Wenming Cao, Zhihai He

International Journal of Distributed Sensor Networks

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Brief report

First published 1991-1

Stimulus Generalization and Representation in Adaptive Network Models of Category Learning

Mark A. Gluck

Psychological Science

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