This commit addresses GitHub issue #17 by implementing comprehensive
forgetting mitigation for continual learning in the GNN module.
## New Features
### Optimizer Implementation (training.rs)
- Full Adam optimizer with bias-corrected first and second moments
- SGD with momentum support
- Lazy initialization of state buffers for efficiency
### Replay Buffer (replay.rs)
- Experience replay with reservoir sampling for uniform distribution
- Distribution shift detection with statistical tracking
- Configurable capacity and batch sampling
### Elastic Weight Consolidation (ewc.rs)
- Fisher information diagonal computation
- Anchor weight consolidation for task boundaries
- EWC penalty and gradient computation
### Learning Rate Scheduling (scheduler.rs)
- Constant, StepDecay, Exponential schedulers
- CosineAnnealing with warm restarts
- WarmupLinear for pre-training warmup
- ReduceOnPlateau for adaptive learning
## Deployment Infrastructure
### GitHub Actions Release Pipeline (.github/workflows/release.yml)
- 8-stage CI/CD pipeline for complete releases
- Validates, builds crates, WASM, and native modules
- Publishes to crates.io and npmjs.com
- Creates GitHub releases with artifacts
### Deployment Script (scripts/deploy.sh)
- Comprehensive deployment orchestration
- Version synchronization across Cargo.toml and package.json
- Dry-run mode for testing
- Cross-platform native builds support
## Test Coverage
- 177 tests passing in ruvector-gnn
- Comprehensive tests for all new modules
- Convergence tests for optimizers
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
