KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations.
Jinyang WuZhiwei NingYidong DingYing WangQinke PengLaiyi FuPublished in: Briefings Bioinform. (2023)
Keyphrases
- knowledge acquisition
- learning systems
- prior knowledge
- representation language
- learning process
- learning algorithm
- knowledge representation
- representation scheme
- knowledge transfer
- probabilistic model
- expert systems
- reinforcement learning
- multiple representations
- learning scheme
- procedural knowledge
- inference process
- subject matter
- social networks
- graph representation
- design principles
- supervised learning
- active learning
- knowledge base
- graph structure
- conceptual framework
- directed graph
- background knowledge
- online learning
- collaborative learning
- learned knowledge