Daixin Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Neural Architecture

Graph Classification

Top Venues

Publications

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 (2024)
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) (2024)
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 (2024)
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)
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 (2024)
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)
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)
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 (2023)
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)
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)
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)
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 (2022)
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)
Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR (2021)
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)
Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM (2021)
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 (2020)
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 (2020)
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)
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)
Daixin Wang, Peng Cui, Wenwu Zhu
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. AAAI (2018)
Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu
Deep Variational Network Embedding in Wasserstein Space. KDD (2018)
Daixin Wang, Peng Cui, Wenwu Zhu
Structural Deep Network Embedding. KDD (2016)
Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu
Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure. IEEE Trans. Multim. 17 (9) (2015)
Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu
Deep Multimodal Hashing with Orthogonal Regularization. IJCAI (2015)