Articles with public access mandates - Yuan FANGLearn more
Available somewhere: 43
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
Mandates: National Natural Science Foundation of China, National Research Foundation …
Adversarial Learning on Heterogeneous Information Networks
B Hu, Y Fang, C Shi
ACM SIGKDD international conference on knowledge discovery and data mining (KDD), 2019
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: A*Star, Singapore
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
Mandates: A*Star, Singapore
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
Mandates: National Research Foundation, Singapore
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China, National Research Foundation …
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
Z Wen, Y Fang
Proceedings of the ACM Web Conference 2022, 1159-1169, 2022
Mandates: A*Star, Singapore
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
Mandates: A*Star, Singapore
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
Mandates: National Research Foundation, Singapore
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
Mandates: National Research Foundation, Singapore
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China, National Research Foundation …
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
Mandates: National Natural Science Foundation of China, A*Star, Singapore
Pre-training on Large-Scale Heterogeneous Graph
X Jiang, T Jia, Y Fang, C Shi, Z Lin, H Wang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Mandates: National Natural Science Foundation of China
Integrating node embeddings and biological annotations for genes to predict disease-gene associations
SK Ata, L Ou-Yang, Y Fang, CK Kwoh, M Wu, XL Li
BMC systems biology 12, 31-44, 2018
Mandates: A*Star, Singapore
Meta-inductive node classification across graphs
Z Wen, Y Fang, Z Liu
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
Mandates: A*Star, Singapore
Topic-aware Heterogeneous Graph Neural Network for Link Prediction
S Xu, C Yang, C Shi, Y Fang, Y Guo, T Yang, L Zhang, M Hu
Proceedings of the 30th ACM International Conference on Information …, 2021
Mandates: National Natural Science Foundation of China
On generalized degree fairness in graph neural networks
Z Liu, TK Nguyen, Y Fang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4525-4533, 2023
Mandates: A*Star, Singapore
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