Lin Pan

Orcid: 0000-0001-5074-7661

Affiliations:
  • Tianjin University, School of Marine Science and Technology, China


According to our database1, Lin Pan authored at least 14 papers between 2016 and 2023.

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Bibliography

2023
Exploring Temporal Community Structure via Network Embedding.
IEEE Trans. Cybern., November, 2023

2022
A Survey on Role-Oriented Network Embedding.
IEEE Trans. Big Data, 2022

Network Alignment enhanced via modeling heterogeneity of anchor nodes.
Knowl. Based Syst., 2022

2021
Role-based network embedding via structural features reconstruction with degree-regularized constraint.
Knowl. Based Syst., 2021

Lower order information preserved network embedding based on non-negative matrix decomposition.
Inf. Sci., 2021

Generating Structural Node Representations via Higher-order Features and Adversarial Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Hybrid neural recommendation with joint deep representation learning of ratings and reviews.
Neurocomputing, 2020

A Unified Bayesian Model for Generalized Community Detection in Attribute Networks.
Complex., 2020

Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization.
IEEE Access, 2020

Hierarchical Multi-view Attention for Neural Review-Based Recommendation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019
Deep Mutual Encode Model for Network Embedding From Structural Identity.
IEEE Access, 2019

2016
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst., 2016


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