Symbol | Description | Symbol | Description |
---|---|---|---|
\(G\) | Biomedical heterogeneous network | \(H\) | Feature Embedding Matrix |
\(V\) | Heterogeneous network node set | \(t\) | Node type |
\(E\) | Heterogeneous network edge set | \(W\) | Weight matrix |
\(\mathcal{A}\) | Node attribute set | \(B\) | Bias matrix |
\(\mathcal{R}\) | Node type set | \(d\) | Embedding feature dimensions |
\(N\) | Number of nodes | \(z\) | Node embedding feature vector |
\({v}_{i}\) | The \(i\) node of network | \(g\) | Sampled from Gumbel distribution |
\({a}_{i}\) | Attribute feature of node \({v}_{i}\) | \(\mathcal{T}\) | Temperature coefficient |
\(\tau (\bullet )\) | Node type mapping function | \(b\) | Learnable weight parameter |
\(\sigma (\bullet )\) | Activation function | \(\phi \left(\bullet \right)\) | Positive Random Features (PRF) |
\(\widehat{Y}\) | Predicted probability of the label | \(C\) | The intermediate node set |
\(s\) | The ending node (disease/drug) | \(M\) | Subgraph node set |