TABLE II.
Model parameters
| Parameter | Baseline | Siamese KG-LSTM |
|---|---|---|
| Exp.1 | Exp.2,3,4 | |
| Framework | Keras 2.2.4 with Tensorflow backend 2.1.0 | |
| Word Vector Size | 200 | |
| Maximum Input Length | 30 | |
| Embedding | BioWordVec Trainable | BioWordVec + Node2Vec Trainable |
| LSTM Hidden Units | 50 | |
| LSTM Activation | Tanh | |
| Dense Layer 1 | - | 128 units with ReLU activation |
| Dense Layer 2 | - | 50 units with ReLU activation |
| Weights and Biases | Xavier Initialization | |
| Optimizer | Adam | |
| Learning Rate | 0.001 | |
| Loss Function | Mean Squared Error (MSE) | |
| Batch Size | 256 | |
| Epochs | 9 | |
| Train/Validation Ratio | 80/20 | |