Self-Attention Equipped Graph Convolutions for Disease Prediction.
Anees KaziS. Arvind KrishnaShayan ShekarforoushKarsten KortuemShadi AlbarqouniNassir NavabPublished in: CoRR (2018)
Keyphrases
- prediction accuracy
- random walk
- graph theory
- prediction error
- prediction algorithm
- graph theoretic
- outbreak detection
- graph representation
- fourier transform
- structured data
- visual attention
- weighted graph
- graph mining
- directed graph
- protein function prediction
- graph structure
- graph model
- medical images
- prediction model
- link analysis
- directed acyclic graph
- graph construction
- disease diagnosis
- denoising