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Is your feature request related to a problem? Please describe.
Currently, the Personalized PageRank algorithm in Neo4j GDS only supports an equal reset probability for each source node. This limitation restricts the flexibility needed for applications where different importance or influence should be assigned to source nodes based on specific criteria or user-defined metrics.
Describe the solution you would like
I would like to request an enhancement to the Personalized PageRank algorithm to allow for user-defined reset probabilities for each source node. This would enable users to customize the influence of each source node in the random walk, thereby providing more tailored results based on their specific use cases.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Currently, the Personalized PageRank algorithm in Neo4j GDS only supports an equal reset probability for each source node. This limitation restricts the flexibility needed for applications where different importance or influence should be assigned to source nodes based on specific criteria or user-defined metrics.
Describe the solution you would like
I would like to request an enhancement to the Personalized PageRank algorithm to allow for user-defined reset probabilities for each source node. This would enable users to customize the influence of each source node in the random walk, thereby providing more tailored results based on their specific use cases.
The text was updated successfully, but these errors were encountered: