| Network representation learning: a survey D Zhang, J Yin, X Zhu, C Zhang IEEE Transactions on Big Data, 2020 | 798 | 2020 |
| Metagraph2vec: Complex semantic path augmented heterogeneous network embedding D Zhang, J Yin, X Zhu, C Zhang Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 159 | 2018 |
| Towards unsupervised deep graph structure learning Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan Proceedings of the ACM Web Conference 2022, 1392-1403, 2022 | 154 | 2022 |
| Homophily, structure, and content augmented network representation learning D Zhang, J Yin, X Zhu, C Zhang 2016 IEEE 16th international conference on data mining (ICDM), 609-618, 2016 | 132 | 2016 |
| User profile preserving social network embedding D Zhang, J Yin, X Zhu, C Zhang IJCAI International Joint Conference on Artificial Intelligence, 2017 | 115 | 2017 |
| Attributed network embedding via subspace discovery D Zhang, J Yin, X Zhu, C Zhang Data Mining and Knowledge Discovery 33, 1953-1980, 2019 | 67 | 2019 |
| Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Y Liu, Y Zheng, D Zhang, V Lee, S Pan AAAI Conference on Artificial Intelligence (AAAI), 2023 | 60 | 2023 |
| Estimating urban functional distributions with semantics preserved POI embedding W Huang, L Cui, M Chen, D Zhang, Y Yao International Journal of Geographical Information Science 36 (10), 1905-1930, 2022 | 59 | 2022 |
| Collective classification via discriminative matrix factorization on sparsely labeled networks D Zhang, J Yin, X Zhu, C Zhang Proceedings of the 25th ACM international on conference on information and …, 2016 | 46 | 2016 |
| SINE: Scalable Incomplete Network Embedding D Zhang, J Yin, X Zhu, C Zhang 2018 IEEE International Conference on Data Mining (ICDM), 737-746, 2018 | 43 | 2018 |
| Learning urban region representations with POIs and hierarchical graph infomax W Huang, D Zhang, G Mai, X Guo, L Cui ISPRS Journal of Photogrammetry and Remote Sensing 196, 134-145, 2023 | 35 | 2023 |
| The application of artificial intelligence to accelerate GPCR drug discovery ATN Nguyen, DTN Nguyen, HY Koh, J Toskov, W MacLean, A Xu, ... British Journal of Pharmacology, 2023 | 20* | 2023 |
| GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction M Gao, D Zhang, Y Chen, Y Zhang, Z Wang, X Wang, S Li, Y Guo, ... Computers in Biology and Medicine, 108339, 2024 | 9 | 2024 |
| Spectral dual-channel encoding for image dehazing Z Zhu, D Zhang, Z Wang, S Feng, P Duan IEEE Transactions on Circuits and Systems for Video Technology 33 (11), 6236 …, 2023 | 9 | 2023 |
| Tuning the mechanical anisotropy of biphenylene by boron and nitrogen doping X Ren, K Wang, Y Yu, D Zhang, G Zhang, Y Cheng Computational Materials Science 222, 112119, 2023 | 9 | 2023 |
| Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images Z Wang, Q Gao, X Yi, X Zhang, Y Zhang, D Zhang, P Liò, C Bain, ... Computer Methods and Programs in Biomedicine 241, 107733, 2023 | 8 | 2023 |
| Link Prediction with Contextualized Self-Supervision D Zhang, J Yin, PS Yu IEEE Transactions on Knowledge and Data Engineering, 2022 | 8 | 2022 |
| Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment Q Ding, D Zhang, J Yin IEEE International Conference on Data Mining (ICDM), 2022 | 6 | 2022 |
| Towards complex dynamic physics system simulation with graph neural ordinary equations G Shi, D Zhang, M Jin, S Pan, SY Philip Neural Networks 176, 106341, 2024 | 5* | 2024 |
| Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Q Ding, J Yin, D Zhang, J Gao arXiv preprint arXiv:2307.02075, 2023 | 3 | 2023 |
A/Prof. Jie YinUniversity of SydneyVerified email at sydney.edu.au
