default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEnyan Dai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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)- [c18]Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Shape-aware Graph Spectral Learning. CIKM 2024: 2692-2701 - [c17]Xuanhao Fan, Enyan Dai:
Effective Clean-Label Backdoor Attacks on Graph Neural Networks. CIKM 2024: 3752-3756 - [c16]Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang:
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. KDD 2024: 4386-4397 - [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
- [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) - [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 - [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
- [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 - [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
- [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 - [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
- [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 - [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)
2010 – 2019
- 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
