Xueyan Liu

Orcid: 0000-0003-1790-3751

Affiliations:
  • Jilin University, College of Computer Science and Technology, Changchun, China


According to our database1, Xueyan Liu authored at least 20 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Item Attribute-aware Graph Collaborative Filtering.
Expert Syst. Appl., March, 2024

2023
A survey of sum-product networks structural learning.
Neural Networks, July, 2023

A Novel Neural-symbolic System under Statistical Relational Learning.
CoRR, 2023

Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks.
Proceedings of the ACM Web Conference 2023, 2023

A Counterfactual Collaborative Session-based Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

2022
Reinforced KGs reasoning for explainable sequential recommendation.
World Wide Web, 2022

2021
A block-based generative model for attributed network embedding.
World Wide Web, 2021

A Scalable Redefined Stochastic Blockmodel.
ACM Trans. Knowl. Discov. Data, 2021

Hyperbolic node embedding for signed networks.
Neurocomputing, 2021

Interpretable Variational Graph Autoencoder with Noninformative Prior.
Future Internet, 2021

DNEA: Dynamic Network Embedding Method for Anomaly Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2021

2020
Semi-supervised stochastic blockmodel for structure analysis of signed networks.
Knowl. Based Syst., 2020

Robust stochastic block model.
Neurocomputing, 2020

A Block-based Generative Model for Attributed Networks Embedding.
CoRR, 2020

2018
Learning node and edge embeddings for signed networks.
Neurocomputing, 2018

Coupled Low Rank Approximation for Collaborative Filtering in Social Networks.
IEEE Access, 2018

Block Modelling and Learning for Structure Analysis of Networks with Positive and Negative Links.
Proceedings of the Knowledge Science, Engineering and Management, 2018

2017
Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis.
IEEE Trans. Knowl. Data Eng., 2017

2015
Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

Bayesian Approach to Modeling and Detecting Communities in Signed Network.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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