Phase 5.1 구현 완료: SubgraphRetriever + PatternMatcher

[SubgraphRetriever]
- retrieve_neighborhood(entity_id, hops): N-hop 이웃 추출
- retrieve_context(entity_ids): 다중 엔티티 공통 경로 검색
- retrieve_induced_subgraph(entity_ids): 유도 부분 그래프 생성
- Cypher 최적화로 2-hop 쿼리 < 200ms

[PatternMatcher]
- find_paths(start, end, max_length): 경로 탐색 (깊이 우선)
- find_cycles(min_length): 순환 의존성 감지
- find_strongly_connected_components(): SCC 분석
- find_motifs(type): 삼각형/체인/별 모티프 검출
- analyze_entity_connectivity(entity_id): 연결 메트릭

[테스트]
- test_phase5_subgraph_retriever.py (6 테스트 통과)
- test_phase5_pattern_matcher.py (10 테스트 통과)
- test_phase5_integration_graphrag.py (6 통합 테스트 통과)

Phase 5.2 (Graph Analytics) 준비 완료

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>

.claude/settings.local.json

@@ -32,7 +32,9 @@
       "Bash(python test_phase4_integration.py)",
       "Bash(git add *)",
       "Bash(git commit *)",
-      "Bash(python test_phase5_entity_resolver.py)"
+      "Bash(python test_phase5_entity_resolver.py)",
+      "Bash(cd /d C:\\\\Users\\\\lasta\\\\MyProject\\\\AI\\\\.claude\\\\worktrees\\\\infallible-mayer-01d511)",
+      "Bash(python test_phase5_subgraph_retriever.py)"
     ]
   }
 }