here is a diagram code : graph LR subgraph Inputs [Inputs] A[Input C (Complete Data)] --> TeacherModel B[Input M (Missing Data)] --> StudentA A --> StudentB end subgraph TeacherModel [Teacher Model (Pretrained)] C[Transformer Encoder T] --> D{Teacher Prediction y_t} C --> E[Internal Features f_t] end subgraph StudentA [Student Model A (Trainable - Handles Missing Input)] F[Transformer Encoder S_A] --> G{Student A Prediction y_s^A} B --> F end subgraph StudentB [Student Model B (Trainable - Handles Missing Labels)] H[Transformer Encoder S_B] --> I{Student B Prediction y_s^B} A --> H end subgraph GroundTruth [Ground Truth RUL (Partial Labels)] J[RUL Labels] end subgraph KnowledgeDistillationA [Knowledge Distillation Block for Student A] K[Prediction Distillation Loss (y_s^A vs y_t)] L[Feature Alignment Loss (f_s^A vs f_t)] D -- Prediction Guidance --> K E -- Feature Guidance --> L G --> K F --> L J -- Supervised Guidance (if available) --> G K --> M{Total Loss A} L --> M G -- Supervised Loss --> M M --> N[Backpropagation to Student A] end subgraph KnowledgeDistillationB [Knowledge Distillation Block for Student B] O[Prediction Distillation Loss (y_s^B vs y_t)] D -- Prediction Guidance --> O I --> O J -- Supervised Guidance (if available) --> I O --> P{Total Loss B} I -- Supervised Loss --> P P --> Q[Backpropagation to Student B] end subgraph FinalOutput [Final Output] R{Final RUL Prediction (y_s)} G --> R I --> R end N -- Updates --> F Q -- Updates --> H   I need a visual representation of this diagram with appropriate icons which should be in a clear and concise manner. I need the final output in an image format

here is a diagram code :

graph LR subgraph Inputs [Inputs] A[Input C (Complete Data)] --> TeacherModel B[Input M (Missing Data)] --> StudentA A --> StudentB end subgraph TeacherModel [Teacher Model (Pretrained)] C[Transformer Encoder T] --> D{Teacher Prediction y_t} C --> E[Internal Features f_t] end subgraph StudentA [Student Model A (Trainable - Handles Missing Input)] F[Transformer Encoder S_A] --> G{Student A Prediction y_s^A} B --> F end subgraph StudentB [Student Model B (Trainable - Handles Missing Labels)] H[Transformer Encoder S_B] --> I{Student B Prediction y_s^B} A --> H end subgraph GroundTruth [Ground Truth RUL (Partial Labels)] J[RUL Labels] end subgraph KnowledgeDistillationA [Knowledge Distillation Block for Student A] K[Prediction Distillation Loss (y_s^A vs y_t)] L[Feature Alignment Loss (f_s^A vs f_t)] D -- Prediction Guidance --> K E -- Feature Guidance --> L G --> K F --> L J -- Supervised Guidance (if available) --> G K --> M{Total Loss A} L --> M G -- Supervised Loss --> M M --> N[Backpropagation to Student A] end subgraph KnowledgeDistillationB [Knowledge Distillation Block for Student B] O[Prediction Distillation Loss (y_s^B vs y_t)] D -- Prediction Guidance --> O I --> O J -- Supervised Guidance (if available) --> I O --> P{Total Loss B} I -- Supervised Loss --> P P --> Q[Backpropagation to Student B] end subgraph FinalOutput [Final Output] R{Final RUL Prediction (y_s)} G --> R I --> R end N -- Updates --> F Q -- Updates --> H

I need a visual representation of this diagram with appropriate icons which should be in a clear and concise manner. I need the final output in an image format