Yuan FANG

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Citations	3254	2994
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i10-index	62	57

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Chuan ShiBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Zemin LiuZhejiang UniversityVerified email at zju.edu.cn
Wu MinPrincipal Scientist, Institute for Infocomm ResearchVerified email at i2r.a-star.edu.sg
Kevin Chen-Chuan ChangUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Xiaoli Li (李晓黎)IEEE Fellow, Dept Head, Institute for Infocomm Research, A*STAR; Adjunct Professor NTUVerified email at i2r.a-star.edu.sg
Vincent W. ZhengADSC, SingaporeVerified email at adsc.com.sg
Xingtong YuResearch Scientist, Singapore Management UniversityVerified email at smu.edu.sg
Yuanfu LuWeChat, TencentVerified email at bupt.edu.cn
Zhihao WenSingapore Management UniversityVerified email at phdcs.smu.edu.sg
Hady W. LauwAssociate Professor, School of Computing and Information Systems, Singapore Management UniversityVerified email at smu.edu.sg
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
Chee Keong KWOHNanyang Technological UniversityVerified email at ntu.edu.sg
Duc-Trong LePhD, VNU University of Engineering and Technology, Vietnam National Univeristy, HanoiVerified email at vnu.edu.vn
Chenghao LiuSalesforce Research AsiaVerified email at salesforce.com
Jie LinUnknown affiliationVerified email at lrdtech.com
Vijay ChandrasekharIEEE Senior Member, R&DVerified email at alumni.stanford.edu
Ruichu CaiProfessor of Computer Science, Guangdong University of TechnologyVerified email at gdut.edu.cn
Sezin Kırcalı AtaPhD., NTU; Scientist; I2R, A*STARVerified email at i2r.a-star.edu.sg
Trung-Kien NguyenPh.D, University of Southern CaliforniaVerified email at usc.edu
Cheng YangBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn

Yuan FANG

Assistant Professor, School of Computing and Information Systems, Singapore Management University

Verified email at smu.edu.sg - Homepage

Graph learning Recommender systems Data mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation Y Lu, Y Fang, C Shi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	273	2020
Adversarial Learning on Heterogeneous Information Networks B Hu, Y Fang, C Shi ACM SIGKDD international conference on knowledge discovery and data mining (KDD), 2019	236	2019
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Z Liu, X Yu, Y Fang, X Zhang Proceedings of the ACM Web Conference 2023, 417-428, 2023	143	2023
Learning to pre-train graph neural networks Y Lu, X Jiang, Y Fang, C Shi Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4276-4284, 2021	133	2021
Object Detection Meets Knowledge Graphs Y Fang, K Kuan, J Lin, C Tan, V Chandrasekhar International Joint Conference on Artificial Intelligence (IJCAI), 2017	133	2017
Semantic Proximity Search on Graphs with Metagraph-based Learning Y Fang, W Lin, VW Zheng, M Wu, KCC Chang, X Li International Conference on Data Engineering (ICDE), 2016	124	2016
Tail-GNN: Tail-Node Graph Neural Networks Z Liu, TK Nguyen, Y Fang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	112	2021
Relative and absolute location embedding for few-shot node classification on graph Z Liu, Y Fang, C Liu, SCH Hoi Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4267-4275, 2021	86	2021
Correlation-sensitive next-basket recommendation DT Le, HW Lauw, Y Fang 28th International Joint Conference on Artificial Intelligence (IJCAI 2019 …, 2019	82	2019
Pre-training graph neural networks for link prediction in biomedical networks Y Long, M Wu, Y Liu, Y Fang, CK Kwoh, J Chen, J Luo, X Li Bioinformatics 38 (8), 2254-2262, 2022	81	2022
Dual-Dropout Graph Convolutional Network for Predicting Synthetic Lethality in Human Cancers R Cai, X Chen, Y Fang, M Wu, Y Hao Bioinformatics 36 (16), 4458-4465, 2020	81	2020
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning Z Wen, Y Fang Proceedings of the ACM Web Conference 2022, 1159-1169, 2022	74	2022
Entity linking on microblogs with spatial and temporal signals Y Fang, MW Chang Transactions of ACL (TACL) 2 (Oct), 259-272, 2014	74	2014
Towards Graph Foundation Models: A Survey and Beyond J Liu, C Yang, Z Lu, J Chen, Y Li, M Zhang, T Bai, Y Fang, L Sun, PS Yu, ... arXiv preprint arXiv:2310.11829, 2023	69	2023
Recent advances in network-based methods for disease gene prediction SK Ata, M Wu, Y Fang, L Ou-Yang, CK Kwoh, XL Li Briefings in bioinformatics 22 (4), bbaa303, 2021	67	2021
Adaptive Task Sampling for Meta-Learning C Liu, Z Wang, D Sahoo, Y Fang, K Zhang, SCH Hoi European Conference on Computer Vision (ECCV) 18, 752-769, 2020	66	2020
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks Z Liu, W Zhang, Y Fang, X Zhang, SCH Hoi Proceedings of the 29th ACM International Conference on Information …, 2020	59	2020
mg2vec: Learning relationship-preserving heterogeneous graph representations via metagraph embedding W ZHANG, Y FANG, Z LIU, M WU, X ZHANG IEEE Transactions on Knowledge and Data Engineering, 2020	58	2020
Incremental and accuracy-aware personalized pagerank through scheduled approximation F Zhu, Y Fang, KCC Chang, J Ying Proceedings of the VLDB Endowment 6 (6), 481-492, 2013	56	2013
BiANE: Bipartite Attributed Network Embedding W Huang, Y Li, Y Fang, J Fan, H Yang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020	49	2020

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