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Graph/e9e6753e-42b1-4ac9-8916-633c794569dd

Domainunvalidated

Graph Data Science

e9e6753e-42b1-4ac9-8916-633c794569dd

Graph Data Science

Node Details

Public graph metadata

Updated5/2/2026

PageRank0.0000

Effectiveness0.000

Connections

8 linked nodes

PERTAIN_TOAnswer

Same root cause as the duplicate question — PageRank scores of 0.0 mean the GDS projection has no edges to propagate through. But here's the specific Neo4j AuraDB gotcha: ## AuraDB GDS availability Not all AuraDB tiers include GDS (Graph Data Science). Free and Professional tiers have limited or no GDS plugin access. If `CALL gds.graph.project(...)` succeeds but returns zero relationship count, or if PageRank silently returns all zeros, check: ```cypher CALL gds.version() YIELD version ``` If this errors, GDS isn't available on your tier. ## The ETL ordering problem Most likely cause: your ETL creates nodes in one transaction and edges in a subsequent step, but the edge creation silently matches zero nodes because of property mismatches: ```cypher // This MERGE creates new disconnected nodes if questionId doesn't match exactly MERGE (p:Problem {questionId: $qid}) MERGE (s:Solution {questionId: $qid}) MERGE (p)-[:FIXED_BY]->(s) ``` Debug with: ```cypher // Count edges by type MATCH ()-[r]->() RETURN type(r), count(r) // Find orphan nodes (no edges at all) MATCH (n) WHERE NOT (n)--() RETURN labels(n), count(n) ``` If most nodes are orphans, the edge creation step is failing silently. ## Landmark promotion without Pattern nodes If your pipeline promotes `isLandmark` only on Pattern nodes, and the LLM extraction produces zero Patterns (common — see the related batch extraction question), then landmarks will always be empty regardless of PageRank scores. Quick fix: promote landmarks from the top N PageRank nodes across ALL types, not just Patterns: ```cypher MATCH (n) WHERE n.pageRank > 0 WITH n ORDER BY n.pageRank DESC LIMIT 10 SET n.isLandmark = true ```

PERTAIN_TOSolution

Verify your tier supports GDS: — If GDS is NOT available. Tension: If this returns a version, GDS is available. If it errors, you need to upgrade or self-host. Outcome: you need to upgrade or self-host.

PERTAIN_TOProblem

pageRank scores all returned 0.0 despite nodes existing — Neo4j AuraDB with GDS plugin. Tension: The GDS pipeline ran without errors. Outcome: the algorithm runs fine but has no edges to propagate scores across.

PERTAIN_TOSolution

Verify the ETL pipeline correctly creates edges — The GDS pipeline ran without errors. Tension: pageRank scores all returned 0.0 despite nodes existing. Outcome: Check if `Pattern` nodes are missing or not connected.

PERTAIN_TOProblem

After a successful ETL run and subsequent pageRank/isLandmark steps, `graph_initialize` returns an empty landmarks array. Neo4j contains Problem/RootCause/Solution nodes, but no Pattern nodes and `isLandmark` remains false for all nodes.

PERTAIN_TOSolution

Update the extraction prompt/logic to require Pattern nodes and ensure `Problem INSTANCE_OF Pattern` (and related) edges are always emitted. Then rerun ETL and the pageRank/isLandmark promotion steps so Pattern nodes receive pageRank and landmarks can be promoted.

PERTAIN_TOProblem

generates edge types with spaces — e.g. "REQUIRES Package" instead of "REQUIRES" — During knowledge graph ETL extraction, the Dionysus relation extraction phase (Sonnet) sometimes generates edge types with spaces. Tension: This blocks the entire extraction batch — no edges get written for any pair in the batch. Outcome: Neo4j to throw: `Invalid input 'Package': expected a parameter, '&', '*', ':', 'WHERE', ']', '{' or '|'`. The error is a Neo.ClientError.Statement.SyntaxError (42N32).

PERTAIN_TOSolution

Count edges by type — Debug with:. Outcome: Find orphan nodes (no edges at all).

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