Sledovat
Yuan FANG
Yuan FANG
Assistant Professor, School of Computing and Information Systems, Singapore Management University
E-mailová adresa ověřena na: smu.edu.sg - Domovská stránka
Název
Citace
Citace
Rok
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
2962020
Adversarial Learning on Heterogeneous Information Networks
B Hu, Y Fang, C Shi
ACM SIGKDD international conference on knowledge discovery and data mining (KDD), 2019
2452019
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
1662023
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
1432021
Object Detection Meets Knowledge Graphs
Y Fang, K Kuan, J Lin, C Tan, V Chandrasekhar
International Joint Conference on Artificial Intelligence (IJCAI), 2017
1372017
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
1262016
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
1232021
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
912021
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
852022
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
842023
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
Z Wen, Y Fang
Proceedings of the ACM Web Conference 2022, 1159-1169, 2022
842022
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
842020
Correlation-sensitive next-basket recommendation
DT Le, HW Lauw, Y Fang
28th International Joint Conference on Artificial Intelligence (IJCAI 2019 …, 2019
842019
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
752021
Entity linking on microblogs with spatial and temporal signals
Y Fang, MW Chang
Transactions of ACL (TACL) 2 (Oct), 259-272, 2014
742014
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
712020
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
602020
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
592020
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
572013
Contrastive Pre-Training of GNNs on Heterogeneous Graphs
X Jiang, Y Lu, Y Fang, C Shi
Proceedings of the 30th ACM International Conference on Information …, 2021
532021
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Články 1–20