A5005139614- Advanced Graph Neural Networks
- Mental Health via Writing
- Artificial Intelligence in Healthcare
- Opinion Dynamics and Social Influence
- Natural Language Processing Techniques
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Network Security and Intrusion Detection
- Bioinformatics and Genomic Networks
- Complex Network Analysis Techniques
- Advanced Text Analysis Techniques
- Public Relations and Crisis Communication
Sichuan University
2024
Chengdu University
2024
Shandong University
2018-2020
Rising cyber threats have created an immediate demand for Deep Learning (DL) in cybersecurity. Nevertheless, the opaque nature of DL models poses challenges deploying, collaborating, and assessing their effectiveness less reliable cybersecurity environments. Despite eXplainable Artificial Intelligence (XAI) playing a role enhancing analytics, limited task scope, propensity data overfitting, stochastic explanations hinder its broader application. To fill gap, this paper introduces generic...
The information of the real world is stored as triplets (head entity, relation, tail entity) in knowledge graphs. They are extremely useful resources for many intelligent applications but suffer from incompleteness. This paper proposes a graph representation model to infer latent privacy based on existing data attribute network. In our model, considering nodes heterogeneous, we classify into and entity nodes. order protect entities, don't follow previous methods learn store feature embedding...