Jintang Li

1. What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
   2022/05/20 by Jintang Li, Ruofan Wu, Li, Jintang +15 · 10 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques
2. A Survey of Adversarial Learning on Graphs
   2020/03/10 by Liang Chen, Chen, Liang, Jintang Li +14 · 5 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Complex Network Analysis Techniques
3. Adversarial Attack on Large Scale Graph
   2020/09/08 by Jintang Li, Tao Xie, Li, Jintang +9 · 3 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Adversarial Robustness in Machine Learning
4. SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
   2023/05/23 by Tian Sheng, Jihai Dong, Tian, Sheng +17 · 3 citations
   Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Social and Information Networks (cs.SI)
5. One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
   2024/06/19 by Yuchang Zhu, Zhu, Yuchang, Jintang Li +7 · 4 citations
   Social Sciences · #Ethics and Social Impacts of AI
6. Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
   2022/02/15 by Jintang Li, Li, Jintang, Bingzhe Wu +12 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning
7. A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
   2022/05/20 by Bingzhe Wu, Jintang Li, Wu, Bingzhe +37 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
8. Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
   2024/06/20 by Yunfei Liu, Liu, Yunfei, Jintang Li +20 · 2 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Face and Expression Recognition
9. Understanding Structural Vulnerability in Graph Convolutional Networks
   2021/08/13 by Liang Chen, Jintang Li, Chen, Liang +9 · 1 citation
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Complex Network Analysis Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Spiking Graph Convolutional Networks
    2022/05/05 by Zulun Zhu, Jiaying Peng, Zhu, Zulun +9 · 1 citation
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural dynamics and brain function
11. Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
    2022/08/15 by Jintang Li, Zhouxin Yu, Li, Jintang +15 · 1 citation
    Computer Science · #Advanced Graph Neural Networks
12. Revisiting Graph Autoencoders as Implicit Contrastive Learners
    2024/10/14 by Jintang Li, Li, Jintang, Ruofan Wu +12 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Machine Learning and Data Classification
13. Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics
    2026/07/16 by Yuchang Zhu, Zezhong Xie, Huizhe Zhang +4
    #cs.LG