| Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors P Xuan, K Han, M Guo, Y Guo, J Li, J Ding, Y Liu, Q Dai, J Li, Z Teng, ... PloS one 8 (8), e70204, 2013 | 373 | 2013 |
| Graph convolutional network and convolutional neural network based method for predicting lncRNA-disease associations P Xuan, S Pan, T Zhang, Y Liu, H Sun Cells 8 (9), 1012, 2019 | 102 | 2019 |
| A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network Y Zhong, P Xuan, X Wang, T Zhang, J Li, Y Liu, W Zhang Bioinformatics 34 (2), 267-277, 2018 | 53 | 2018 |
| A new structure-hole-based algorithm for influence maximization in large online social networks J Zhu, Y Liu, X Yin Ieee Access 5, 23405-23412, 2017 | 42 | 2017 |
| CNNDLP: a method based on convolutional autoencoder and convolutional neural network with adjacent edge attention for predicting lncRNA–disease associations P Xuan, N Sheng, T Zhang, Y Liu, Y Guo International journal of molecular sciences 20 (17), 4260, 2019 | 35 | 2019 |
| Inductive representation learning in temporal networks via mining neighborhood and community influences M Liu, Y Liu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 33 | 2021 |
| Friend and POI recommendation based on social trust cluster in location-based social networks J Zhu, C Wang, X Guo, Q Ming, J Li, Y Liu EURASIP Journal on Wireless Communications and Networking 2019, 1-12, 2019 | 33 | 2019 |
| Dual convolutional neural network based method for predicting disease-related miRNAs P Xuan, Y Dong, Y Guo, T Zhang, Y Liu International journal of molecular sciences 19 (12), 3732, 2018 | 33 | 2018 |
| Summarizing graph patterns Y Liu, J Li, H Gao 2008 IEEE 24th International Conference on Data Engineering, 903-912, 2008 | 28 | 2008 |
| A spatial correlation based adaptive missing data estimation algorithm in wireless sensor networks L Pan, H Gao, H Gao, Y Liu International Journal of Wireless Information Networks 21, 280-289, 2014 | 27 | 2014 |
| Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting Q Ren, Y Li, Y Liu Expert Systems with Applications 227, 120203, 2023 | 25 | 2023 |
| Curriculum contrastive learning for fake news detection J Ma, Y Liu, M Liu, M Han Proceedings of the 31st ACM International Conference on Information …, 2022 | 19 | 2022 |
| Efficient algorithms for summarizing graph patterns J Li, Y Liu, H Gao IEEE Transactions on Knowledge and Data Engineering 23 (9), 1388-1405, 2010 | 19 | 2010 |
| Embedding temporal networks inductively via mining neighborhood and community influences M Liu, ZW Quan, JM Wu, Y Liu, M Han Applied Intelligence 52 (14), 16069-16088, 2022 | 17 | 2022 |
| Embedding global and local influences for dynamic graphs M Liu, J Wu, Y Liu Proceedings of the 31st ACM international conference on information …, 2022 | 17 | 2022 |
| JPMiner: mining frequent jump patterns from graph databases Y Liu, J Li, H Gao 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery …, 2009 | 12 | 2009 |
| Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction P Xuan, M Wang, Y Liu, D Wang, T Zhang, T Nakaguchi Briefings in Bioinformatics 23 (3), bbac126, 2022 | 11 | 2022 |
| Graph–sequence attention and transformer for predicting drug–target affinity X Yan, Y Liu RSC advances 12 (45), 29525-29534, 2022 | 11 | 2022 |
| A dynamic heterogeneous graph perception network with time-based mini-batch for information diffusion prediction W Fan, M Liu, Y Liu International Conference on Database Systems for Advanced Applications, 604-612, 2022 | 10 | 2022 |
| Multi-modal transformer for fake news detection P Yang, J Ma, Y Liu, M Liu Mathematical Biosciences and Engineering 20 (8), 14699-14717, 2023 | 9 | 2023 |
