Isoform Function Prediction Based on Heterogeneous Graph Attention Networks.
Kuo GuoYifan LiHao ChenHong-Bin ShenYang YangPublished in: BIBM (2023)
Keyphrases
- heterogeneous networks
- prediction accuracy
- network structure
- dynamic networks
- biological networks
- graph representation
- prediction model
- graph theory
- graph structures
- prediction algorithm
- average degree
- neural network ensemble
- overlapping communities
- fully connected
- graph theoretic
- graph partitioning
- network analysis
- computer networks
- graph model
- graph mining
- edge weights
- prediction error
- small world
- scale free
- weighted graph
- graph structure
- graph matching
- visual attention
- artificial neural networks