Module graph Future

Graph Module - Future Enhancements

Scope

• hardening and refinement of graph planning/traversal/semantic execution behavior
• expansion of deterministic reliability under mixed local/parallel/distributed/GPU workloads
• stronger benchmark-backed guardrails for graph hot paths

Design Constraints

• graph contracts remain backward compatible within major release line.
• traversal and planning constraints remain explicit and enforceable.
• advanced execution degradation behavior remains bounded and deterministic.
• semantic reasoning remains explainable and observable.

Required Interfaces

Interface	Requirement
planning interfaces	deterministic optimizer and explain/rewrite semantics
traversal interfaces	bounded local/parallel/distributed execution behavior
semantic interfaces	explicit ontology/reasoning constraints and outcomes
tensor utility interfaces	deterministic fingerprint/dedup behavior

Implementation Notes

• tighten parity and edge handling across local, distributed, and GPU traversal paths.
• standardize diagnostics for constraint denials, fallback, and reasoning conflicts.
• expand resilience tests for prolonged graph load and high fan-out patterns.
• broaden benchmark depth for optimizer, traversal, and semantic/tensor utility flows.

Wave B B2: Knowledge Graph Completion (RotatE)

Priority: High Target: Q1–Q2 2027

• implement RotatE embeddings with relation-as-rotation scoring
• add negative-sampling triple loss for training
• add link-prediction inference head for top-k completion
• wire completion output into KnowledgeGraphReasoner
• benchmark quality/latency against TransE baseline in the deterministic acceptance fixture

Test Strategy

• unit and integration suites for optimizer, traversal, constraints, rewrite, and explain surfaces.
• regressions for fallback/degradation and semantic conflict scenarios.
• deterministic stress runs for high-volume graph workloads.
• release-profile benchmark runs for mapped graph targets.

Performance Targets

• optimizer and traversal control paths remain inside regression budgets.
• graph hot paths remain stable at p95/p99 envelopes.
• mapped benchmark manifests reach no-missing-case status for release gating.

Security / Reliability

• maintain strict constraint gating before costly traversal execution.
• preserve explicit fallback signaling for degraded advanced execution routes.
• enforce bounded semantic reasoning behavior under malformed/conflicting input.
• keep diagnostics actionable for production graph incidents.

Wave B Acceptance Gates (B2)

• ✅ mrr ≥ 0.35 and hits@10 ≥ 0.55 on the deterministic acceptance fixture
• ✅ inference latency ≤ 50 ms for top-20 predictions
• ✅ no backward compatibility breaks in graph/reasoner APIs

Related Documents

• AI wave tracker: ../ai/ROADMAP.md
• bibliography: ../../docs/research/ml_enhancements_bibliography.md
• issue scope: https://github.com/makr-code/ThemisDB/issues/5039

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