A5007006547- Bioinformatics and Genomic Networks
- Terrorism, Counterterrorism, and Political Violence
- Ultrasonics and Acoustic Wave Propagation
- Smart Grid Energy Management
- Adversarial Robustness in Machine Learning
- Geophysical Methods and Applications
- Complex Network Analysis Techniques
- Computational Drug Discovery Methods
- Network Security and Intrusion Detection
- Underwater Acoustics Research
Tianjin University
2024
Graph neural networks (GNN) have been widely used in many machine learning tasks, such as text classification, sequence labeling, protein interface prediction, and knowledge graph. With increasing security concerns, GNN proved to be vulnerable unreliable. Recent years, inspired by adversarial model computer vision, various attacks on graph data begin emerge. However, the exist mostly focus violation attack specificity, very few concern error specificity. In this paper, we dealing with kind...
Community detection has been a subject of extensive research due to its broad applications across social media, computer science, biology, and complex systems. Modularity stands out as predominant metric guiding community detection, with numerous algorithms aimed at maximizing modularity. However, modularity encounters resolution limit problem when identifying small structures. To tackle this challenge, paper presents novel approach by defining structure information from the perspective...
Fluid-saturated porous media plays an increasingly important role in emerging fields such as lithium batteries and artificial bones. Accurately solving the governing equations of guided wave is key to successful application ultrasonic nondestructive testing technology fluid-saturated media. This paper derives Lamb equation layered materials based on Biot theory proposes spectral method suitable for complex equations. The reconstructs fundamental form a matrix eigenvalue problem using...