Lin Pan

According to our database, Lin Pan authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Exploring Temporal Community Structure via Network Embedding.

Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin

IEEE Trans. Cybern., November, 2023

Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction.

Jinlin Hou, Xuan Guo, Jiye Liu, Jie Li, Lin Pan, Wenjun Wang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

A Survey on Role-Oriented Network Embedding.

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan

IEEE Trans. Big Data, 2022

Network Alignment enhanced via modeling heterogeneity of anchor nodes.

Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan

Knowl. Based Syst., 2022

2021

Role-based network embedding via structural features reconstruction with degree-regularized constraint.

Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao

Knowl. Based Syst., 2021

Lower order information preserved network embedding based on non-negative matrix decomposition.

Qiang Tian, Lin Pan, Wang Zhang, Tianpeng Li, Huaming Wu, Pengfei Jiao, Wenjun Wang

Inf. Sci., 2021

Generating Structural Node Representations via Higher-order Features and Adversarial Learning.

Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.

Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang

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.

Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao

Neurocomputing, 2020

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

Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan

Complex., 2020

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

Qin Tian, Lin Pan, Xuan Guo, Xiaoming Li, Wei Yu, Faming Li

IEEE Access, 2020

Hierarchical Multi-view Attention for Neural Review-Based Recommendation.

Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao

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.

Shichong Zhang, Yinghui Wang, Wenjun Wang, Pengfei Jiao, Lin Pan

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019

Deep Mutual Encode Model for Network Embedding From Structural Identity.

Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang

IEEE Access, 2019

2016

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.

Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys

Knowl. Based Syst., 2016