seed: 42 data: train_dir: "./sami/Simulation2/processed_simulation2.h5ad" val_dir: "" infer_dir: "./data/infer" file_pattern: "*.h5ad" omics1_obsm_key: "rna_feat_pca" omics2_obsm_key: "protein_feat" omics1_target_obsm_key: "rna_feat_pca" omics2_target_obsm_key: "protein_feat" batch_size: 1 num_workers: 0 pin_memory: false model: branch_mode: "multimodal_fusion" # Options: "omics1", "omics2", "multimodal_fusion" hidden_dim: 64 omics1_in_dim: 50 omics2_in_dim: 100 omics1_target_dim: 50 omics2_target_dim: 100 omics1_encoder: feature_adapter: adapter_type: "mlp_bottleneck" adapter_dim: 64 dropout: 0.1 force_linear: false omics1_augmentation: enabled: false alpha: 0.5 omics2_encoder: adapter_type: "mlp_bottleneck" adapter_dim: 64 dropout: 0.1 force_linear: false graph: top_k: 6 symmetrize: true add_self_loops: false chunk_size: 512 graph_backbone: omics1: type: "pointnext" use_layer_transformer: true omics2: type: "pointnext" use_layer_transformer: true pointnext: expansion: 4 dropout: 0.1 max_neighbors: null pooling: "mean" cross_modal_attention: num_heads: 4 dropout: 0.1 gat: num_layers: 3 omics1_num_layers: 3 omics2_num_layers: 3 num_heads: 4 dropout: 0.1 leaky_relu_negative_slope: 0.2 layer_transformer: num_heads: 4 ff_dim: 256 dropout: 0.1 pooling: "mean" fusion: mlp_hidden_dim: 256 dropout: 0.1 train: device: "cuda" epochs: 100 lr: 1.0e-3 weight_decay: 1.0e-4 grad_clip_norm: 5.0 amp: false log_interval: 10 output_dir: "./outputs" save_every: 20 loss: lambda_omics1: 10.0 lambda_omics2: 10.0 lambda_contrastive: 0.5 lambda_consistency: 1.0 contrastive: use_symmetric_loss: false consistency: temperature: 0.1 projector_hidden_dim: 128 projector_out_dim: 64 infer: checkpoint_path: "" output_path: "./outputs/infer_embeddings.pt" save_reconstruction: false