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Xin Liu
Xin Liu
Senior Researcher, Artificial Intelligence Reseach Center, AIST, Japan
Verified email at aist.go.jp - Homepage
Title
Cited by
Cited by
Year
Advanced modularity-specialized label propagation algorithm for detecting communities in networks
X Liu, T Murata
Physica A: Statistical Mechanics and its Applications 389 (7), 1493-1500, 2010
2932010
Community detection in large-scale bipartite networks
X Liu, T Murata
The 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 50-57, 2009
1302009
An unsupervised learning method with convolutional auto-encoder for vessel trajectory similarity computation
M Liang, RW Liu, S Li, Z Xiao, X Liu, F Lu
Ocean Engineering 225, 108803, 2021
912021
Effective algorithm for detecting community structure in complex networks based on GA and clustering
X Liu, D Li, S Wang, Z Tao
Computational Science–ICCS 2007, 657-664, 2007
802007
Graph convolutional networks for graphs containing missing features
H Taguchi, X Liu, T Murata
Future Generation Computer Systems 117, 155-168, 2021
742021
Simplifying approach to node classification in Graph Neural Networks
SK Maurya, X Liu, T Murata
Journal of Computational Science 62, 101695, 2022
71*2022
A general view for network embedding as matrix factorization
X Liu, T Murata, KS Kim, C Kotarasu, C Zhuang
Proceedings of the Twelfth ACM international conference on web search and …, 2019
612019
A framework for community detection in heterogeneous multi-relational networks
X Liu, W Liu, T Murata, K Wakita
Advances in Complex Systems 17 (06), 1450018, 2014
582014
An efficient algorithm for optimizing bipartite modularity in bipartite networks
X Liu, T Murata
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2010
472010
Learning community structure with variational autoencoder
JJ Choong, X Liu, T Murata
2018 IEEE International Conference on Data Mining (ICDM), 69-78, 2018
402018
How does label propagation algorithm work in bipartite networks?
X Liu, T Murata
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2009
402009
Fast approximations of betweenness centrality with graph neural networks
SK Maurya, X Liu, T Murata
Proceedings of the 28th ACM international conference on information and …, 2019
352019
Graph neural networks for fast node ranking approximation
SK Maurya, X Liu, T Murata
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (5), 1-32, 2021
342021
Food sales prediction with meteorological data—a case study of a Japanese chain supermarket
X Liu, R Ichise
Data Mining and Big Data: Second International Conference, DMBD 2017 …, 2017
342017
Population graph-based multi-model ensemble method for diagnosing autism spectrum disorder
Z Rakhimberdina, X Liu, T Murata
Sensors 20 (21), 6001, 2020
322020
Detecting Communities in K-Partite K-Uniform (Hyper)Networks
X Liu, T Murata
Journal of Computer Science and Technology 26 (5), 778, 2011
322011
Towards an aggregator that exploits big data to bid on frequency containment reserve market
C Giovanelli, X Liu, S Sierla, V Vyatkin, R Ichise
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
292017
Detecting network communities beyond assortativity-related attributes
X Liu, T Murata, K Wakita
Physical Review E 90 (1), 012806, 2014
29*2014
Forecasting ambulance demand with profiled human mobility via heterogeneous multi-graph neural networks
Z Wang, T Xia, R Jiang, X Liu, KS Kim, X Song, R Shibasaki
2021 IEEE 37th International Conference on Data Engineering (ICDE), 1751-1762, 2021
262021
Natural image reconstruction from fmri using deep learning: A survey
Z Rakhimberdina, Q Jodelet, X Liu, T Murata
Frontiers in neuroscience 15, 795488, 2021
232021
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