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2020 – today
- 2024
[j2]Xin Wang, Heng Chang
, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu:
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Trans. Knowl. Data Eng. 36(5): 2166-2178 (2024)- [c16]Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou:
Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. DASFAA (7) 2024: 436-440 - [c15]Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang:
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. KDD 2024: 3222-3232 - [i8]Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou:
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. CoRR abs/2403.06482 (2024) - [i7]Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou:
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. CoRR abs/2403.06489 (2024) - [i6]Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang:
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. CoRR abs/2407.20499 (2024) - 2023
- [c14]Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu:
Adversarially Robust Neural Architecture Search for Graph Neural Networks. CVPR 2023: 8143-8152 - [c13]Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao:
Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. DASFAA (4) 2023: 544-555 - [c12]Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou:
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. KDD 2023: 2233-2242 - [c11]Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou:
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. WWW 2023: 395-405 - [i5]Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu:
Adversarially Robust Neural Architecture Search for Graph Neural Networks. CoRR abs/2304.04168 (2023) - 2022
- [c10]Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou:
A Graph Learning Based Framework for Billion-Scale Offline User Identification. KDD 2022: 4001-4009 - [i4]Beini Xie, Heng Chang, Xin Wang, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu:
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. CoRR abs/2208.06651 (2022) - 2021
- [c9]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM 2021: 1834-1843 - [c8]Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM 2021: 3508-3512 - [c7]Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi:
Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM 2021: 702-710 - [i3]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR abs/2111.02100 (2021) - 2020
- [i2]Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi:
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. CoRR abs/2003.01171 (2020) - [i1]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi:
RNE: A Scalable Network Embedding for Billion-scale Recommendation. CoRR abs/2003.07158 (2020)
2010 – 2019
- 2019
- [c6]Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang:
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. ICDM 2019: 598-607 - [c5]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
RNE: A Scalable Network Embedding for Billion-Scale Recommendation. PAKDD (2) 2019: 432-445 - 2018
- [c4]Daixin Wang, Peng Cui, Wenwu Zhu:
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. AAAI 2018: 443-450 - [c3]Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu:
Deep Variational Network Embedding in Wasserstein Space. KDD 2018: 2827-2836 - 2016
- [c2]Daixin Wang, Peng Cui, Wenwu Zhu:
Structural Deep Network Embedding. KDD 2016: 1225-1234 - 2015
- [j1]Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu:
Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure. IEEE Trans. Multim. 17(9): 1404-1416 (2015) - [c1]Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu:
Deep Multimodal Hashing with Orthogonal Regularization. IJCAI 2015: 2291-2297
Coauthor Index
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