Enyan Dai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 41

Top Topics

Message Passing

Top Venues

Publications

Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. KDD (2024)
Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. CoRR (2024)
Shuotong Bai, Huaxiao Liu, Enyan Dai, Lei Liu
Improving Issue-PR Link Prediction via Knowledge-Aware Heterogeneous Graph Learning. IEEE Trans. Software Eng. 50 (7) (2024)
Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. CoRR (2024)
Enyan Dai, Minhua Lin, Suhang Wang
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection. CoRR (2024)
Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR (2023)
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. KDD (2023)
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Cheng, Bing Yin, Suhang Wang
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. CoRR (2023)
Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
Certifiably Robust Graph Contrastive Learning. CoRR (2023)
Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
Learning fair models without sensitive attributes: A generative approach. Neurocomputing 561 (2023)
Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
Unnoticeable Backdoor Attacks on Graph Neural Networks. CoRR (2023)
Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW (2023)
Enyan Dai, Suhang Wang
Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
Certifiably Robust Graph Contrastive Learning. NeurIPS (2023)
Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
HP-GMN: Graph Memory Networks for Heterophilous Graphs. CoRR (2022)
Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
HP-GMN: Graph Memory Networks for Heterophilous Graphs. ICDM (2022)
Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. CoRR (2022)
Enyan Dai, Jie Chen
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. CoRR (2022)
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. WSDM (2022)
Enyan Dai, Shijie Zhou, Zhimeng Guo, Suhang Wang
Label-Wise Graph Convolutional Network for Heterophilic Graphs. LoG (2022)
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR (2022)
Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. WSDM (2022)
Enyan Dai, Jie Chen
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. ICLR (2022)
Enyan Dai, Suhang Wang
Towards Prototype-Based Self-Explainable Graph Neural Network. CoRR (2022)
Enyan Dai, Suhang Wang
Towards Self-Explainable Graph Neural Network. CIKM (2021)
Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao, Enyan Dai
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network. CoRR (2021)
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
Labeled Data Generation with Inexact Supervision. CoRR (2021)
Enyan Dai, Suhang Wang
Towards Self-Explainable Graph Neural Network. CoRR (2021)
Enyan Dai, Charu C. Aggarwal, Suhang Wang
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. CoRR (2021)
Enyan Dai, Suhang Wang
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. WSDM (2021)
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. CoRR (2021)
Enyan Dai, Charu Aggarwal, Suhang Wang
NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. KDD (2021)
Enyan Dai, Zhimeng Guo, Suhang Wang
Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs. CoRR (2021)
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
Labeled Data Generation with Inexact Supervision. KDD (2021)
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. CoRR (2020)
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. W-NUT@EMNLP (2020)
Enyan Dai, Suhang Wang
FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information. CoRR (2020)
Enyan Dai, Yiwei Sun, Suhang Wang
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. CoRR (2020)
Enyan Dai, Yiwei Sun, Suhang Wang
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. ICWSM (2020)
Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CVPR Workshops (2020)
Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CoRR (2019)