Hongxu Chen
Hongxu Chen
University of Technology Sydney, formerly DKE at The University of Queensland.
Verified email at uts.edu.au - Homepage
Title
Cited by
Cited by
Year
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction
H Chen, H Yin, W Wang, H Wang, QVH Nguyen, X Li
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
1182018
SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction
H Yin, H Chen, X Sun, H Wang, Y Wang, QVH Nguyen
2017 IEEE International Conference on Data Mining(ICDM'17), 2017
882017
Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling
Y Wang, H Yin, H Chen, T Wo, J Xu, K Zheng
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
512019
Air: Attentional intention-aware recommender systems
T Chen, H Yin, H Chen, R Yan, QVH Nguyen, X Li
2019 IEEE 35th International Conference on Data Engineering (ICDE), 304-315, 2019
482019
Exploiting centrality information with graph convolutions for network representation learning
H Chen, H Yin, T Chen, QVH Nguyen, WC Peng, X Li
2019 IEEE 35th International Conference on Data Engineering (ICDE), 590-601, 2019
332019
TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction
T Chen, H Yin, H Chen, L Wu, H Wang, X Zhou, X Li
2018 IEEE International Conference on Data Mining(ICDM'18), 2018
282018
People opinion topic model: opinion based user clustering in social networks
H Chen, H Yin, X Li, M Wang, W Chen, T Chen
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
222017
Social Boosted Recommendation with Folded Bipartite Network Embedding
H Chen, H Yin, T Chen, W Wang, X Li, X Hu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
202020
Inferring Substitutable Products with Deep Network Embedding
S Zhang, H Yin, W Qinyong, T Chen, H Chen, QVH Nguyen
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
172019
Tianyu Wo, Jie Xu, and Kai Zheng. 2019. Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling
Y Wang, H Yin, H Chen
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 0
14
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
H Chen, H Yin, X Sun, T Chen, B Gabrys, K Musial
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
122020
Heterogeneous Hypergraph Embedding for Graph Classification
X Sun, H Yin, B Liu, H Chen, J Cao, Y Shao, NQV Hung
the 14th ACM International Conference on Web Search and Data Mining (WSDM2021), 2021
62021
Online sales prediction via trend alignment-based multitask recurrent neural networks
T Chen, H Yin, H Chen, H Wang, X Zhou, X Li
Knowledge and Information Systems, 2019
52019
Temporal Meta-path Guided Explainable Recommendation
H Chen, Y Li, X Sun, G Xu, H Yin
the 14th ACM International Conference on Web Search and Data Mining (WSDM2021), 2021
42021
A Scalable Redefined Stochastic Blockmodel
X Liu, B Yang, H Chen, K Musial, H Chen, Y Li, W Zuo
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
32020
Disease Prediction via Graph Neural Networks
Z Sun, H Yin, H Chen, T Chen, L Cui, F Yang
IEEE Journal of Biomedical and Health Informatics, 2020
22020
Rumor detection via recurrent neural networks: A case study on adaptivity with varied data compositions
T Chen, H Chen, X Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 121-127, 2018
22018
Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks
X Sun, L Bo, H Chen, W Han, Q Meng, J Cao, H Yin
The Web Conference 2021 (WWW2021), 2021
12021
Semi-supervised clustering with deep metric learning
X Li, H Yin, K Zhou, H Chen, S Sadiq, X Zhou
International Conference on Database Systems for Advanced Applications, 383-386, 2019
12019
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
S Zhang, H Chen, X Ming, L Cui, H Yin, G Xu
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
2021
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