Liang Duan

Orcid: 0000-0001-9473-2533

According to our database1, Liang Duan authored at least 24 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Structural Entropy Based Graph Structure Learning for Node Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention.
Data Sci. Eng., December, 2023

Efficient Inference of Markov Logic Network for Link Prediction.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2022
An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding.
Knowl. Based Syst., 2022

Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables.
Inf. Sci., 2022

Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Mutual information based Bayesian graph neural network for few-shot learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Similarity Search with Graph Index on Directed Social Network Embedding.
Proceedings of the Web Engineering - 22nd International Conference, 2022

An Approach for Domain Relation Extraction.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

2021
Improving spectral clustering with deep embedding, cluster estimation and metric learning.
Knowl. Inf. Syst., 2021

Matrix factorization based Bayesian network embedding for efficient probabilistic inferences.
Expert Syst. Appl., 2021

Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes.
Clust. Comput., 2021

Transfer learning of Bayesian network for measuring QoS of virtual machines.
Appl. Intell., 2021

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns.
Proceedings of the Database Systems for Advanced Applications, 2021

A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
A parallel and constraint induced approach to modeling user preference from rating data.
Knowl. Based Syst., 2020

2019
Improving Spectral Clustering with Deep Embedding and Cluster Estimation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017
An Ensemble Approach to Link Prediction.
IEEE Trans. Knowl. Data Eng., 2017

2016
Ensemble Enabled Weighted PageRank.
CoRR, 2016

Scaling up Link Prediction with Ensembles.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015
Extending Conditional Dependencies with Built-in Predicates.
IEEE Trans. Knowl. Data Eng., 2015

Tracing Errors in Probabilistic Databases Based on the Bayesian Network.
Proceedings of the Database Systems for Advanced Applications, 2015

2013
An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Cleaning Missing Data Based on the Bayesian Network.
Proceedings of the Web-Age Information Management, 2013


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