Xin Liu
Xin Liu
Chief Senior Researcher, Artificial Intelligence Reseach Center, AIST, Japan
Verified email at - Homepage
Cited by
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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
Community detection in large-scale bipartite networks
X Liu, T Murata
Transactions of the Japanese Society for Artificial Intelligence 25 (1), 16-24, 2010
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
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
Graph convolutional networks for graphs containing missing features
H Taguchi, X Liu, T Murata
Future Generation Computer Systems 117, 155-168, 2021
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
Simplifying approach to node classification in graph neural networks
SK Maurya, X Liu, T Murata
Journal of Computational Science 62, 101695, 2022
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
An efficient algorithm for optimizing bipartite modularity in bipartite networks
X Liu, T Murata
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2010
Learning community structure with variational autoencoder
JJ Choong, X Liu, T Murata
2018 IEEE International Conference on Data Mining (ICDM), 69-78, 2018
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
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
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
Improving graph neural networks with simple architecture design
SK Maurya, X Liu, T Murata
arXiv preprint arXiv:2105.07634, 2021
Population graph-based multi-model ensemble method for diagnosing autism spectrum disorder
Z Rakhimberdina, X Liu, T Murata
Sensors 20 (21), 6001, 2020
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
Detecting Communities in K-Partite K-Uniform (Hyper)Networks
X Liu, T Murata
Journal of Computer Science and Technology 26 (5), 778, 2011
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
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
Natural image reconstruction from fmri using deep learning: A survey
Z Rakhimberdina, Q Jodelet, X Liu, T Murata
Frontiers in neuroscience 15, 795488, 2021
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