Hongxu Chen

According to our database, Hongxu Chen authored at least 57 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.

Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu

IEEE Trans. Knowl. Data Eng., September, 2024

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.

Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu

IEEE Trans. Comput. Soc. Syst., April, 2024

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.

Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng

CoRR, 2024

Defense Against Model Extraction Attacks on Recommender Systems.

Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Watermarking Recommender Systems.

Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation.

Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu

IEEE Trans. Knowl. Data Eng., November, 2023

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.

Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu

Inf. Sci., November, 2023

Graph-Aware Deep Fusion Networks for Online Spam Review Detection.

Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen

IEEE Trans. Comput. Soc. Syst., October, 2023

Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen

IEEE Trans. Knowl. Data Eng., September, 2023

Hyperbolic Neural Collaborative Recommender.

Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang

IEEE Trans. Knowl. Data Eng., September, 2023

Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph.

Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh

IEEE Trans. Knowl. Data Eng., April, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu

Proceedings of the ACM Web Conference 2023, 2023

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.

Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Online Spam Review Detection: A Survey of Literature.

Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu

Hum. Centric Intell. Syst., June, 2022

Reinforced KGs reasoning for explainable sequential recommendation.

Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin

World Wide Web, 2022

Social Boosted Recommendation With Folded Bipartite Network Embedding.

Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu

IEEE Trans. Knowl. Data Eng., 2022

Federated Graph Contrastive Learning.

Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu

CoRR, 2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu

CoRR, 2022

Graph Masked Autoencoder.

Hongxu Chen, Sixiao Zhang, Guandong Xu

CoRR, 2022

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation.

Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dual Space Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Unsupervised Deep Graph Structure Learning.

Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing.

Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.

Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DialMed: A Dataset for Dialogue-based Medication Recommendation.

Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.

Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Explaining similarity for SPARQL queries.

Meng Wang, Kefei Chen, Gang Xiao, Xinyue Zhang, Hongxu Chen, Sen Wang

World Wide Web, 2021

A block-based generative model for attributed network embedding.

Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin

World Wide Web, 2021

A Scalable Redefined Stochastic Blockmodel.

Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo

ACM Trans. Knowl. Discov. Data, 2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.

Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang

IEEE J. Biomed. Health Informatics, 2021

Disease Prediction via Graph Neural Networks.

Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang

IEEE J. Biomed. Health Informatics, 2021

Hyperbolic node embedding for signed networks.

Wenzhuo Song, Hongxu Chen, Xueyan Liu, Hongzhe Jiang, Shengsheng Wang

Neurocomputing, 2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

CoRR, 2021

Hyperbolic Neural Collaborative Recommender.

Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu

CoRR, 2021

Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao

Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Hypergraph Embedding for Graph Classification.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung

Proceedings of the WSDM '21, 2021

Temporal Meta-path Guided Explainable Recommendation.

Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin

Proceedings of the WSDM '21, 2021

Graph Data Mining in Recommender Systems.

Hongxu Chen, Yicong Li, Haoran Yang

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Where are we in embedding spaces?

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.

Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu

Proceedings of the IEEE International Conference on Data Mining, 2021

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories.

Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Click-Through Rate Prediction with Multi-Modal Hypergraphs.

Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.

Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Graph representation learning with attribute information

Hongxu Chen

PhD thesis, 2020

Online sales prediction via trend alignment-based multitask recurrent neural networks.

Tong Chen, Hongzhi Yin, Hongxu Chen, Hao Wang, Xiaofang Zhou, Xue Li

Knowl. Inf. Syst., 2020

Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph.

Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh

CoRR, 2020

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.

Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling.

Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Inferring Substitutable Products with Deep Network Embedding.

Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AIR: Attentional Intention-Aware Recommender Systems.

Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.

Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Semi-supervised Clustering with Deep Metric Learning.

Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia W. Sadiq, Xiaofang Zhou

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions.

Tong Chen, Hongxu Chen, Xue Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.

Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.

Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

People Opinion Topic Model: Opinion based User Clustering in Social Networks.

Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction.

Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017