Accurately Predicting circRNA-disease Associations Using Variational Graph Auto-encoders and LightGBM.
Siyuan ShenYurong QianJingjing ZhengJunyi LiuLei DengPublished in: BIBM (2021)
Keyphrases
- graph representation
- random walk
- association rules
- structured data
- variational methods
- graph structure
- directed graph
- graph matching
- connected components
- image segmentation
- disease diagnosis
- graph theory
- graph mining
- biological entities
- diagnostic tool
- disease progression
- data mining
- graph theoretic
- directed acyclic graph
- weighted graph
- bipartite graph
- probabilistic model
- computer vision