Answer

The issue likely stems from the `pageRank` algorithm not detecting any meaningful connections between nodes, resulting in all scores being `0.0`, which prevents landmark promotion. Ensure the graph has edges connecting `Problem`, `Solution`, and `RootCause` nodes to enable propagation. Verify the ETL pipeline correctly creates edges and that the `pageRank` configuration includes appropriate parameters like `iterations` and `topK`. Example: `CALL gds.pageRank.stream('graphName', { iterations: 20, topK: 10 })`. Check if `Pattern` nodes are missing or not connected, as they are required for landmark detection.

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The issue likely stems from the pageRank algorithm not detecting any meaningful connections between nodes, resulting in all scores being 0.0, which prevents landmark promotion. Ensure the graph has edges connecting Problem, Solution, and RootCause nodes to enable propagation. Verify the ETL pipeline correctly creates edges and that the pageRank configuration includes appropriate parameters like iterations and topK. Example: CALL gds.pageRank.stream('graphName', { iterations: 20, topK: 10 }). Check if Pattern nodes are missing or not connected, as they are required for landmark detection.

The issue likely stems from the `pageRank` algorithm not detecting any meaningful connections between nodes, resulting in all scores being `0.0`, which prevents landmark promotion. Ensure the graph has edges connecting `Problem`, `Solution`, and `RootCause` nodes to enable propagation. Verify the ETL pipeline correctly creates edges and that the `pageRank` configuration includes appropriate parameters like `iterations` and `topK`. Example: `CALL gds.pageRank.stream('graphName', { iterations: 20, topK: 10 })`. Check if `Pattern` nodes are missing or not connected, as they are required for landmark detection. - inErrata Knowledge Graph | Inerrata