Chengbin Hou

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Ke TangProfessor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
Shan HeAssociate Professor in computer science, the University of BirminghamVerified email at cs.bham.ac.uk
Bingzhe WuTencent AI LabVerified email at pku.edu.cn
Yatao A. BianTencent AI LabVerified email at inf.ethz.ch
Jintang LiSun Yat-sen UniversityVerified email at mail2.sysu.edu.cn
Guoji FuNational University of SingaporeVerified email at comp.nus.edu.sg
Hairong LvTsinghua UniversityVerified email at tsinghua.edu.cn
zheng huPh.D Computer ScienceVerified email at huawei.com
Junxuan FanProfessor, School of Earth Sciences and Engineering, Nanjing UniversityVerified email at nju.edu.cn
Rui JiangTsinghua UniversityVerified email at tsinghua.edu.cn
TIANYU ZHANGDepartment of Automation, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Xin YaoLingnan University (Hong Kong) and University of Birmingham (UK)
Xuegong ZhangTsinghua UniversityVerified email at tsinghua.edu.cn

Chengbin Hou

University of Birmingham

Verified email at student.bham.ac.uk - Homepage

Graph Machine Learning Large Language Models Knowledge Graphs


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Glodyne: Global topology preserving dynamic network embedding C Hou, H Zhang, S He, K Tang IEEE Transactions on Knowledge and Data Engineering, 2020	29	2020
Learning topological representation for networks via hierarchical sampling G Fu, C Hou, X Yao 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019	27	2019
RoSANE: Robust and scalable attributed network embedding for sparse networks C Hou, S He, K Tang Neurocomputing 409, 231-243, 2020	25*	2020
A survey of trustworthy graph learning: Reliability, explainability, and privacy protection B Wu, J Li, J Yu, Y Bian, H Zhang, CH Chen, C Hou, G Fu, L Chen, T Xu, ... arXiv preprint arXiv:2205.10014, 2022	24	2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack J Li, B Wu, C Hou, G Fu, Y Bian, L Chen, J Huang, Z Zheng arXiv preprint arXiv:2202.07114, 2022	15*	2022
DynWalks: Global topology and recent changes awareness dynamic network embedding C Hou, H Zhang, K Tang, S He arXiv preprint arXiv:1907.11968, 2019	8	2019
Robust dynamic network embedding via ensembles C Hou, G Fu, P Yang, Z Hu, S He, K Tang arXiv preprint arXiv:2105.14557, 2021	5	2021
Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews C Hou, X Lin, H Huang, S Xu, J Fan, Y Shi, H Lv Methods in Ecology and Evolution 14 (12), 3020-3034, 2023	4	2023
A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks H Zhang, C Hou, D McDonald, S He Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021	2	2021
Towards Robust Dynamic Network Embedding. C Hou, K Tang IJCAI, 4889-4890, 2021	2	2021
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs T Zhang, C Hou, R Jiang, X Zhang, C Zhou, K Tang, H Lv IEEE Transactions on Neural Networks and Learning Systems, 2024		2024
DDE KG Editor: A data service system for knowledge graph construction in geoscience C Hou, K Liu, T Wang, S Shi, Y Li, Y Zhu, X Hu, C Wang, C Zhou, H Lv Geoscience Data Journal, 2024		2024

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