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Daixin Wang
Daixin Wang
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Title
Cited by
Cited by
Year
Structural deep network embedding
D Wang, P Cui, W Zhu
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
31042016
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
3442019
Deep multimodal hashing with orthogonal regularization
D Wang, P Cui, M Ou, W Zhu
Twenty-fourth international joint conference on artificial intelligence, 2015
1562015
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
1372018
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
992015
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
442021
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
262021
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
232018
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
182021
Mingdong Ou, and Wenwu Zhu. 2015. Deep multimodal hashing with orthogonal regularization
D Wang, P Cui
Proceedings of the International Joint Conference on Artificial Intelligence …, 2015
142015
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
42023
Revisiting adversarial attacks on graph neural networks for graph classification
B Xie, H Chang, X Wang, T Bian, S Zhou, D Wang, Z Zhang, W Zhu
arXiv preprint arXiv:2208.06651, 2022
32022
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
22021
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
12023
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
12023
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
12023
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
12022
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
2023
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
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