Self-Attention Equipped Graph Convolutions for Disease Prediction.
Anees KaziS. Arvind KrishnaShayan ShekarforoushKarsten KortuemShadi AlbarqouniNassir NavabPublished in: ISBI (2019)
Keyphrases
- prediction accuracy
- prediction model
- random walk
- graph representation
- graph structure
- prediction error
- prediction algorithm
- weighted graph
- structured data
- connected components
- protein function prediction
- disease diagnosis
- outbreak detection
- artificial neural networks
- directed acyclic graph
- graph theory
- fourier transform
- directed graph
- graph mining
- spanning tree
- bipartite graph
- graph theoretic
- visual attention
- signal processing