Table 2 Configurations of baseline models on omics, graph structure, gnn layers, and regularizaiton modules
From: A multimodal graph neural network framework for cancer molecular subtype classification
Model | Omics | Graph | GNN Layer | Module | |||||
|---|---|---|---|---|---|---|---|---|---|
mRNA | CNV | miRNA | Intra-omic | Inter-omic | GCN | GAT | Decoder | Parallel | |
GCN (Original) [23] | \(\checkmark\) | – | – | \(\checkmark\) | – | \(\checkmark\) | – | – | – |
GCN (Modified) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | – | \(\checkmark\) | – | – | – |
Multi-omics GCN (Original) [1] | \(\checkmark\) | \(\checkmark\) | – | \(\checkmark\) | – | \(\checkmark\) | – | \(\checkmark\) | \(\checkmark\) |
Multi-omics GCN (Modified) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | – | \(\checkmark\) | – | \(\checkmark\) | \(\checkmark\) |
GrAMME (Modified) [25] | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | – | \(\checkmark\) | – | \(\checkmark\) | – | – |
Multi-omics GAT (Original) [7] | \(\checkmark\) | – | \(\checkmark\) | \(\checkmark\) | – | – | \(\checkmark\) | – | – |
Multi-omics GAT (Modified) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | \(\checkmark\) | – | – | \(\checkmark\) | – | – |