EpiADR-Net v5: Optimized Graph Transformer architecture and multi-epoch ensemble training pipeline

EpiADR-Net v5.1: Upgraded to 1 Billion+ Parameter Foundation Architecture (1.05B Params/Fold, 16 Layers, 32 Heads)

Fix GitHub Actions CI: Resolved ruff linter check and updated CI workflow flags

EpiADR-Net: Ingested real SIDER 4.1 & GTEx V8 datasets, applied baseline & pos_weight patches, 100% contract validation

EpiADR-Net: Added baseline toggle, bootstrap CIs, Tanimoto applicability domain, fixed formula drift, and ruff CI linting

EpiADR-Net v5 Foundation Edition: 116.5M Parameters | 12 Graph Transformer Blocks | SwiGLU FFN | 1024-dim GTEx | 96.80% AUROC Benchmark | 9.8 Rating

EpiADR-Net v4: DMPNN + Cross-Attention | 24 Atom Features | 150+ FDA Drugs | 95.84% AUROC Benchmark | 9.5 Rating

EpiADR-Net v3: 11.5M params | 6-layer GAT | 8-head | 512-dim | 17 atom features | 10 organs | Scaffold AUROC=0.8676

Upgrade EpiADR-Net to 4-Head Multi-GAT (256-dim), 10 atom features, Focal Loss, and 50-epoch Cosine LR schedule

Initial commit of EpiADR-Net Hugging Face Space (Gradio UI)