Fix Issue 401 Error

[ooples]

This commit implements three critical Graph Neural Network architectures to expand the AiDotNet library's GNN capabilities:

1. Graph Attention Networks (GAT)

   • Multi-head attention mechanism for graph-structured data
   • Learns importance weights for neighbor nodes dynamically
   • Supports configurable attention heads and dropout
   • File: GraphAttentionLayer.cs

2. GraphSAGE (Graph Sample and Aggregate)

   • Inductive learning framework for graph data
   • Three aggregator types: Mean, MaxPool, and Sum
   • L2 normalization support for stable training
   • Designed for generalizing to unseen nodes
   • File: GraphSAGELayer.cs

3. Graph Isomorphism Network (GIN)

   • Provably as powerful as Weisfeiler-Lehman test
   • Uses sum aggregation with learnable epsilon parameter
   • Two-layer MLP for powerful feature transformation
   • Optimal for tasks requiring fine-grained structural understanding
   • File: GraphIsomorphismLayer.cs

Additional Changes:

• Created IGraphConvolutionLayer<T> interface defining common GNN contracts
• Moved GraphConvolutionalLayer to new Graph/ subdirectory
• Updated GraphConvolutionalLayer to implement IGraphConvolutionLayer
• Added comprehensive unit tests for all graph layers (GraphLayerTests.cs)

Architecture: All layers follow consistent patterns:

• Implement IGraphConvolutionLayer<T> and extend LayerBase<T>
• Support adjacency matrix input via SetAdjacencyMatrix()
• Provide InputFeatures and OutputFeatures properties
• Include detailed XML documentation with beginner-friendly explanations

Use Cases:

• Social network analysis
• Molecular property prediction
• Knowledge graph reasoning
• Recommendation systems
• Citation network analysis

Resolves #401

User Story / Context

• Reference: [US-XXX] (if applicable)
• Base branch: merge-dev2-to-master

Summary

• What changed and why (scoped strictly to the user story / PR intent)

Verification

• [ ] Builds succeed (scoped to changed projects)
• [ ] Unit tests pass locally
• [ ] Code coverage >= 90% for touched code
• [ ] Codecov upload succeeded (if token configured)
• [ ] TFM verification (net46, net6.0, net8.0) passes (if packaging)
• [ ] No unresolved Copilot comments on HEAD

Copilot Review Loop (Outcome-Based)

Record counts before/after your last push:

• Comments on HEAD BEFORE: [N]
• Comments on HEAD AFTER (60s): [M]
• Final HEAD SHA: [sha]

Files Modified

• [ ] List files changed (must align with scope)

Notes

• Any follow-ups, caveats, or migration details

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Summary by CodeRabbit

• Documentation
  • Added automated release pipeline setup documentation with semantic versioning and changelog generation guidance
  • Added comprehensive conventional commits guide covering commit structure, best practices, and tooling integration
  • Streamlined documentation by consolidating and removing outdated implementation guides

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Walkthrough

This PR removes 16 junior developer implementation guides across various AI/ML features (diffusion models, video generation, audio processing, vision models, graph networks) and related documentation (branch protection, cross-validation spec), while introducing new guidance on automated release setup and conventional commits conventions.

Changes

Cohort / File(s)	Summary
Removed junior developer guides ISSUE_258_JUNIOR_DEV_GUIDE.md, ISSUE_261_JUNIOR_DEV_GUIDE.md, ISSUE_262_JUNIOR_DEV_GUIDE.md, ISSUE_263_JUNIOR_DEV_GUIDE.md, ISSUE_264_JUNIOR_DEV_GUIDE.md, ISSUE_267_JUNIOR_DEV_GUIDE.md, ISSUE_268_JUNIOR_DEV_GUIDE.md, ISSUE_269_JUNIOR_DEV_GUIDE.md, ISSUE_270_JUNIOR_DEV_GUIDE.md, ISSUE_271_JUNIOR_DEV_GUIDE.md, ISSUE_272_JUNIOR_DEV_GUIDE.md, ISSUE_273_JUNIOR_DEV_GUIDE.md, ISSUE_274_JUNIOR_DEV_GUIDE.md, ISSUE_275_JUNIOR_DEV_GUIDE.md, ISSUE_276_JUNIOR_DEV_GUIDE.md	Removed implementation guides covering null-checking policy, diffusion models (DDPM/DDIM), latent diffusion with text conditioning, diffusion schedulers (PNDM/DPM-Solver), ControlNet integration, video generation, video upscaling, automatic speech recognition (Whisper), text-to-speech, audio generation via codec language models, CLIP encoders, BLIP-2 vision-language models, Segment Anything (SAM), State Space Models (S4/Mamba), and RWKV-style RNNs
Other removed guidance docs BRANCH_PROTECTION.md, CROSS_VALIDATION_COMPLETE_SPEC.md	Removed branch protection recommendations and cross-validation integration specification
New guidance documentation AUTOMATED_RELEASE_SETUP.md, CONVENTIONAL_COMMITS_GUIDE.md	Added release pipeline automation documentation covering semantic versioning, changelog generation, GitHub Releases publishing, and conventional commits guidelines with type/scope conventions and examples

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~5 minutes

• All changes are documentation additions and removals with no code logic, executable implementations, or public API signature modifications
• Verify removed guides are intentionally deprecated/consolidated
• Confirm new documentation accurately reflects desired workflows (release automation, commit conventions)

Possibly related PRs

• PR #328: Removes CROSS_VALIDATION_COMPLETE_SPEC.md in this PR while the linked PR introduces cross-validation meta-learning code and related specification documents—directly touches the same documentation file

Suggested labels

documentation

Poem

🐰 Old guides hop away on the breeze,
New pipelines sprout from the trees—
Commits now flow by convention's way,
Releases cascade without delay! ✨

Pre-merge checks and finishing touches

❌ Failed checks (3 warnings, 1 inconclusive)

Check name	Status	Explanation	Resolution
Linked Issues check	⚠️ Warning	The PR description claims implementation of GAT, GraphSAGE, and GIN, but the raw_summary shows only documentation deletions (junior dev guides) with no code changes to actual implementation files.	Verify that the actual implementation files (GraphAttentionLayer.cs, GraphSAGELayer.cs, GraphIsomorphismLayer.cs, IGraphConvolutionLayer interface) were added to the repository and include their changes in the raw_summary.
Out of Scope Changes check	⚠️ Warning	The raw_summary contains only deletions of junior developer guide documentation files (.github/ISSUE_.md and other .github/.md files) which are out of scope relative to implementing GNN architectures.	The changeset should focus on adding/modifying implementation files for GAT, GraphSAGE, and GIN as described in the PR. Documentation deletions appear unrelated to the core objective of implementing GNN architectures.
Docstring Coverage	⚠️ Warning	Docstring coverage is 65.20% which is insufficient. The required threshold is 80.00%.	You can run @coderabbitai generate docstrings to improve docstring coverage.
Title check	❓ Inconclusive	The title 'Fix Issue 401 Error' is vague and does not clearly describe the main changes, which involve implementing three GNN architectures (GAT, GraphSAGE, GIN).	Consider a more descriptive title such as 'Implement Graph Attention Networks, GraphSAGE, and GIN architectures for Issue #401' to better convey the primary changes.

✅ Passed checks (1 passed)

Check name	Status	Explanation
Description check	✅ Passed	The PR description is comprehensive and directly related to the changeset, detailing the three GNN architectures (GAT, GraphSAGE, GIN), interface creation, and test additions.

✨ Finishing touches

🧪 Generate unit tests (beta)

• [ ] Create PR with unit tests
• [ ] Post copyable unit tests in a comment
• [ ] Commit unit tests in branch claude/fix-issue-401-011CUw2PdjV8WHcpjT2wAkpr

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