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Journal Articles
- 2024
[j3]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): 1901-1920 (2024)- 2023
- [j2]Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang:
Learning fair models without sensitive attributes: A generative approach. Neurocomputing 561: 126841 (2023) - [j1]Enyan Dai, Suhang Wang:
Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information. IEEE Trans. Knowl. Data Eng. 35(7): 7103-7117 (2023)
Conference and Workshop Papers
- 2024
- [c16]Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang:
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. KDD 2024: 4386-4397 - 2023
- [c15]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: 368-379 - [c14]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang:
Certifiably Robust Graph Contrastive Learning. NeurIPS 2023 - [c13]Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW 2023: 2263-2273 - 2022
- [c12]Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang:
HP-GMN: Graph Memory Networks for Heterophilous Graphs. ICDM 2022: 1263-1268 - [c11]Enyan Dai, Jie Chen:
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. ICLR 2022 - [c10]Enyan Dai, Shijie Zhou, Zhimeng Guo, Suhang Wang:
Label-Wise Graph Convolutional Network for Heterophilic Graphs. LoG 2022: 26 - [c9]Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. WSDM 2022: 181-191 - [c8]Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang:
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. WSDM 2022: 1433-1442 - 2021
- [c7]Enyan Dai, Suhang Wang:
Towards Self-Explainable Graph Neural Network. CIKM 2021: 302-311 - [c6]Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang:
Labeled Data Generation with Inexact Supervision. KDD 2021: 218-226 - [c5]Enyan Dai, Charu Aggarwal, Suhang Wang:
NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. KDD 2021: 227-236 - [c4]Enyan Dai, Suhang Wang:
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. WSDM 2021: 680-688 - 2020
- [c3]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: 499-504 - [c2]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: 1924-1933 - [c1]Enyan Dai, Yiwei Sun, Suhang Wang:
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. ICWSM 2020: 853-862
Informal and Other Publications
- 2024
- [i22]Enyan Dai, Minhua Lin, Suhang Wang:
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection. CoRR abs/2402.04435 (2024) - [i21]Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang:
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. CoRR abs/2405.10757 (2024) - [i20]Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang:
Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. CoRR abs/2406.09836 (2024) - 2023
- [i19]Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. CoRR abs/2303.01263 (2023) - [i18]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. CoRR abs/2306.08604 (2023) - [i17]Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang:
Certifiably Robust Graph Contrastive Learning. CoRR abs/2310.03312 (2023) - [i16]Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR abs/2310.10064 (2023) - 2022
- [i15]Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. CoRR abs/2201.00232 (2022) - [i14]Enyan Dai, Jie Chen:
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series. CoRR abs/2202.07857 (2022) - [i13]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 abs/2204.08570 (2022) - [i12]Enyan Dai, Suhang Wang:
Towards Prototype-Based Self-Explainable Graph Neural Network. CoRR abs/2210.01974 (2022) - [i11]Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang:
HP-GMN: Graph Memory Networks for Heterophilous Graphs. CoRR abs/2210.08195 (2022) - 2021
- [i10]Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang:
You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. CoRR abs/2104.14537 (2021) - [i9]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 abs/2105.13399 (2021) - [i8]Enyan Dai, Charu C. Aggarwal, Suhang Wang:
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. CoRR abs/2106.04714 (2021) - [i7]Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang:
Labeled Data Generation with Inexact Supervision. CoRR abs/2106.04716 (2021) - [i6]Enyan Dai, Suhang Wang:
Towards Self-Explainable Graph Neural Network. CoRR abs/2108.12055 (2021) - [i5]Enyan Dai, Zhimeng Guo, Suhang Wang:
Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs. CoRR abs/2110.08128 (2021) - 2020
- [i4]Enyan Dai, Yiwei Sun, Suhang Wang:
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. CoRR abs/2002.00837 (2020) - [i3]Enyan Dai, Suhang Wang:
FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information. CoRR abs/2009.01454 (2020) - [i2]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 abs/2009.14262 (2020) - 2019
- [i1]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 abs/1910.02593 (2019)
Coauthor Index
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