About
Contact & Profiles
A5043488356
Research Areas
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Bayesian Modeling and Causal Inference
- Complex Network Analysis Techniques
- Bioinformatics and Genomic Networks
- Advanced Malware Detection Techniques
Shenzhen University
2022-2023
10.1016/j.neunet.2022.07.014
article
EN
Neural Networks
2022-07-16
10.1016/j.knosys.2022.109310
article
EN
Knowledge-Based Systems
2022-06-25
10.1007/s10489-023-04901-0
article
EN
Applied Intelligence
2023-08-23
10.1117/12.3025846
article
EN
2024-04-08
The study of ensemble learning in knowledge graph embedding (KGE) shows that combining multiple individual KGE models can perform better on completion. However, existing methods ignore the creation model diversity because these independently train models, which are short training interaction. To create rich diversity, we propose a novel method for bilinear (EBM) problem EBM uses weighted loss to allow interact during training. In this way, relations be automatically modeled by most...
10.1109/icmlc58545.2023.10327968
article
EN
2023-07-09
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