Enyan Dai

发表

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

Jie Chen, Enyan Dai, 2022, ICLR.

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

Hui Liu, Enyan Dai, Suhang Wang, 2022, WSDM.

Towards Prototype-Based Self-Explainable Graph Neural Network

Enyan Dai, Suhang Wang, 2022, ArXiv.

Urban Building Energy Modeling: A Time-Series Building Energy Consumption Use Simulation Prediction Tool Based on Graph Neural Network

Suhang Wang, Jianxiang Huang, X. Cheng, 2022, Computing in Civil Engineering 2021.

Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information

Enyan Dai, Suhang Wang, 2023, IEEE Transactions on Knowledge and Data Engineering.

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

Jiliang Tang, Suhang Wang, Hui Liu, 2022, ArXiv.

HP-GMN: Graph Memory Networks for Heterophilous Graphs

Xiang Zhang, Enyan Dai, Suhang Wang, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Towards Self-Explainable Graph Neural Network

Enyan Dai, Suhang Wang, Enyan Dai, 2021, CIKM.

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

Suhang Wang, Enyan Dai, 2020, WSDM.

NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs

Charu Aggarwal, Enyan Dai, Suhang Wang, 2021, KDD.

Unnoticeable Backdoor Attacks on Graph Neural Networks

Xiang Zhang, Enyan Dai, Suhang Wang, 2023, WWW.

Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs pdf

Enyan Dai, Suhang Wang, Zhimeng Guo, 2021, ArXiv.

Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features

Kai Shu, Enyan Dai, Suhang Wang, 2021, WSDM.

Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network pdf

Enyan Dai, Tianxiang Zhao, Suhang Wang, 2021, Applied Energy.

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

Suhang Wang, Yiwei Sun, Enyan Dai, 2020, ICWSM.

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Zhimeng Guo, Enyan Dai, Suhang Wang, 2021, LoG.

Unsupervised Image Super-Resolution with an Indirect Supervised Path

Qi Tian, Xu Jia, Chunjing Xu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

Jiliang Tang, Suhang Wang, Hui Liu, 2022, ArXiv.

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy

Zhengyang Wang, Xianfeng Tang, Limeng Cui, 2023, Knowledge Discovery and Data Mining.

Certifiably Robust Graph Contrastive Learning

Enyan Dai, Min Lin, Teng Xiao, 2023, ArXiv.

FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information pdf

Suhang Wang, Enyan Dai, Suhang Wang, 2020, ArXiv.

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling

Chieh-Yang Huang, Enyan Dai, Chacha Chen, 2020, W-NUT@EMNLP.

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling pdf

Jiaqi Wang, Yang Shi, Chieh-Yang Huang, 2020, WNUT.

Learning Graph Filters for Spectral GNNs via Newton Interpolation

Enyan Dai, Suhang Wang, Dongsheng Luo, 2023, ArXiv.

Shape-aware Graph Spectral Learning

Enyan Dai, Suhang Wang, Dongsheng Luo, 2023, 2310.10064.

Labeled Data Generation with Inexact Supervision

Kai Shu, Enyan Dai, Yiwei Sun, 2021, KDD.