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Hongxu Chen
Hongxu Chen
Commonwealth Bank of Australia
Verified email at cba.com.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
2472018
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
2312019
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
1252020
Towards Unsupervised Deep Graph Structure Learning
Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan
The Web Conference 2022, 2022
1082022
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
1062017
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
1032019
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
862021
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
792019
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
782021
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
722018
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
672020
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
592020
Hyperbolic Hypergraphs for Sequential Recommendation
Y Li, H Chen, X Sun, Z Sun, L Li, L Cui, P Yu, G Xu
30th ACM International Conference on Information and Knowledge Management, 2021
442021
Dual Space Graph Contrastive Learning
H Yang, H Chen, S Pan, L Li, P Yu, G Xu
The Web Conference 2022, 2022
402022
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
402019
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
H Yang, H Chen, L Li, P Yu, G Xu
21st IEEE International Conference on Data Mining (ICDM), 2021
382021
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
342020
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
342017
Click-Through Rate Prediction with Multi-Modal Hypergraphs
L He, H Chen, D Wang, S Jameel, P Yu, G Xu
30th ACM International Conference on Information and Knowledge Management, 2021
312021
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
S Zhang, H Chen, X Sun, Y Li, G Xu
The Web Conference 2022, 2022
302022
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