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Enyan Dai — most-cited papers & profile · Graph Learning
← authors
·
overview
Enyan Dai
11
papers ·
233
citations ·
0
h-index
Pennsylvania State University · University of Hong Kong
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Towards Self-Explainable Graph Neural Network
2021 · 63 citations
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
2021 · 18 citations
HP-GMN: Graph Memory Networks for Heterophilous Graphs
2022 · 11 citations
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
2022 · 9 citations
Label-Wise Graph Convolutional Network for Heterophilic Graphs
2021 · 5 citations
Certifiably Robust Graph Contrastive Learning
2023 · 3 citations
Robustness Inspired Graph Backdoor Defense
2024 · 1 citations
Shape-aware Graph Spectral Learning
2023 · 1 citations
LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection
2025
Top co-authors
Suhang Wang
· 8
Junjie Xu
· 2
Minhua Lin
· 2
Charu Aggarwal
· 1
Dongsheng Luo
· 1
Hui Liu
· 1
Junjie Xu
· 1
Kentaro Yoshioka
· 1
Shijie Zhou
· 1
Teng Xiao
· 1
Wei Jin
· 1
Wenlun Zhang
· 1
Topics
GNN Architectures
Theory & Expressivity
Self-Supervised & Contrastive
Recommendation Graphs
Knowledge Graphs