| Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Q Dai, XM Wu, J Xiao, X Shen, D Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 129 | 2023 |
| Network Together: Node Classification via Cross network Deep Network Embedding X Shen, Q Dai, S Mao, F Chung, KS Choi IEEE Transactions on Neural Networks and Learning Systems 32 (5), 1935 - 1948, 2021 | 118* | 2021 |
| Adversarial training methods for network embedding Q Dai, X Shen, L Zhang, Q Li, D Wang The world wide web conference, 329-339, 2019 | 115 | 2019 |
| Deep network embedding for graph representation learning in signed networks X Shen, FL Chung IEEE transactions on cybernetics 50 (4), 1556-1568, 2020 | 102 | 2020 |
| Adversarial Deep Network Embedding for Cross-network Node Classification X Shen, Q Dai, F Chung, W Lu, KS Choi Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2991-2999, 2020 | 93 | 2020 |
| Neighbor Contrastive Learning on Learnable Graph Augmentation X Shen, D Sun, S Pan, X Zhou, LT Yang AAAI Conference on Artificial Intelligence (AAAI), 9782-9791, 2023 | 74 | 2023 |
| Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study PKF Chiu, X Shen, G Wang, CL Ho, CH Leung, CF Ng, KS Choi, ... Prostate cancer and prostatic diseases 25 (4), 672-676, 2022 | 44 | 2022 |
| Cross-network learning with fuzzy labels for seed selection and graph sparsification in influence maximization X Shen, S Mao, FL Chung IEEE Transactions on Fuzzy Systems 28 (9), 2195 - 2208, 2020 | 20 | 2020 |
| Deep network embedding with aggregated proximity preserving X Shen, FL Chung Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 20 | 2017 |
| Leveraging cross-network information for graph sparsification in influence maximization X Shen, F Chung, S Mao Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 17 | 2017 |
| Incorporating trust relationships in collaborative filtering recommender system X Shen, H Long, C Ma 2015 IEEE/ACIS 16th International Conference on Software Engineering …, 2015 | 16 | 2015 |
| Domain-adaptive message passing graph neural network X Shen, S Pan, KS Choi, X Zhou Neural Networks 164, 439-454, 2023 | 15 | 2023 |
| Deep domain adaptation based on multi-layer joint kernelized distance S Mao, X Shen, F Chung The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 9 | 2018 |
| Using dual neural network architecture to detect the risk of dementia with community health data: Algorithm development and validation study X Shen, G Wang, RYC Kwan, KS Choi JMIR medical informatics 8 (8), e19870, 2020 | 8 | 2020 |
| Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning M Wu, X Zheng, Q Zhang, X Shen, X Luo, X Zhu, S Pan arXiv preprint arXiv:2402.16374, 2024 | 7 | 2024 |
| Domain-adaptive graph attention-supervised network for cross-network edge classification X Shen, M Shao, S Pan, LT Yang, X Zhou IEEE Transactions on Neural Networks and Learning Systems 35 (12), 17842-17855, 2024 | 4 | 2024 |
| Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy J Xiao, Q Dai, X Shen, X Xie, J Dai, J Lam, KW Kwok Neurocomputing 580, 127469, 2024 | 4 | 2024 |
| Dual separated attention-based graph neural network X Shen, KS Choi, X Zhou Neurocomputing 599, 128106, 2024 | 2 | 2024 |
| HNCGAT: a method for predicting plant metabolite–protein interaction using heterogeneous neighbor contrastive graph attention network X Zhou, J Yang, Y Luo, X Shen Briefings in bioinformatics 25 (5), bbae397, 2024 | 1 | 2024 |
| Contrastive domain-adaptive graph selective self-training network for cross-network edge classification M Shao, P Xue, X Zhou, X Shen Pattern Recognition 152, 110448, 2024 | | 2024 |
Fu Lai ChungDepartment of Computing, Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk