| Structural deep network embedding D Wang, P Cui, W Zhu Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 3326 | 2016 |
| A semi-supervised graph attentive network for financial fraud detection D Wang, J Lin, P Cui, Q Jia, Z Wang, Y Fang, Q Yu, J Zhou, S Yang, Y Qi 2019 IEEE international conference on data mining (ICDM), 598-607, 2019 | 451 | 2019 |
| Deep multimodal hashing with orthogonal regularization D Wang, P Cui, M Ou, W Zhu Twenty-fourth international joint conference on artificial intelligence, 2015 | 175 | 2015 |
| Deep variational network embedding in wasserstein space D Zhu, P Cui, D Wang, W Zhu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 148 | 2018 |
| Learning compact hash codes for multimodal representations using orthogonal deep structure D Wang, P Cui, M Ou, W Zhu IEEE Transactions on Multimedia 17 (9), 1404-1416, 2015 | 103 | 2015 |
| Conditional graph attention networks for distilling and refining knowledge graphs in recommendation K Tu, P Cui, D Wang, Z Zhang, J Zhou, Y Qi, W Zhu Proceedings of the 30th ACM international conference on information …, 2021 | 52 | 2021 |
| Temporal-aware graph neural network for credit risk prediction D Wang, Z Zhang, J Zhou, P Cui, J Fang, Q Jia, Y Fang, Y Qi Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 35 | 2021 |
| Deep asymmetric transfer network for unbalanced domain adaptation D Wang, P Cui, W Zhu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 26 | 2018 |
| Low-dimensional alignment for cross-domain recommendation T Wang, F Zhuang, Z Zhang, D Wang, J Zhou, Q He Proceedings of the 30th ACM international conference on information …, 2021 | 24 | 2021 |
| Adversarially robust neural architecture search for graph neural networks B Xie, H Chang, Z Zhang, X Wang, D Wang, Z Zhang, R Ying, W Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Revisiting adversarial attacks on graph neural networks for graph classification X Wang, H Chang, B Xie, T Bian, S Zhou, D Wang, Z Zhang, W Zhu IEEE Transactions on Knowledge and Data Engineering, 2023 | 10 | 2023 |
| Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning D Wang, Z Zhang, Y Zhao, K Huang, Y Kang, J Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement Y Wang, D Wang, H Liu, B Hu, Y Yan, Q Zhang, Z Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 3 | 2024 |
| Graph neural network with two uplift estimators for label-scarcity individual uplift modeling D Zhu, D Wang, Z Zhang, K Kuang, Y Zhang, Y Kang, J Zhou Proceedings of the ACM Web Conference 2023, 395-405, 2023 | 2 | 2023 |
| Conditional attention networks for distilling knowledge graphs in recommendation K Tu, P Cui, D Wang, Z Zhang, J Zhou, Y Qi, W Zhu arXiv preprint arXiv:2111.02100, 2021 | 2 | 2021 |
| Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks Y Hou, D Wang, B Hu, R Zhuang, Z Zhang, J Zhou, F Zhao, Y Kang, ... International Conference on Database Systems for Advanced Applications, 544-555, 2023 | 1 | 2023 |
| A Graph Learning Based Framework for Billion-Scale Offline User Identification D Wang, Z Weng, Z Wu, Z Zhang, P Cui, H Zhao, J Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 1 | 2022 |
| Entity transaction attribute determination method and apparatus D Wang, Z Zhang, J Fang, Q Jia US Patent 11,227,217, 2022 | | 2022 |
| RNE: A Scalable Network Embedding for Billion-Scale Recommendation J Lin, D Wang, L Guan, Y Zhao, B Zhao, J Zhou, X Li, Y Qi Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | | 2019 |
