Model Planner Options
Fine-grained control over encoders, training strategy, and the AutoML search space.
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Column Processing
Model Architecture
- activation
- aggregation
- channels
- handle_new_target_entities
- module
- normalization
- num_post_message_passing_layers
- num_pre_message_passing_layers
- ranking_embedding_loss_coeff
- output_embedding_dim
- target_embedding_mode
- use_seq_id
- distance_measure
Neighbor Sampling
Optimization
- base_lr
- batch_size
- early_stopping
- lr_scheduler
- majority_sampling_ratio
- max_epochs
- max_steps_per_epoch
- max_test_steps
- max_val_steps
- weight_decay
- weight_mode