The paper introduces the ACS-PP problem and an efficient PP-FP search algorithm using public global and private PP-FP-tree indices to find connected k-core communities sharing maximum keywords with the query in public-private graphs.
Detecting com- munities from heterogeneous graphs: A context path-based graph neural network model,
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Efficient Community Search on Attributed Public-Private Graphs
The paper introduces the ACS-PP problem and an efficient PP-FP search algorithm using public global and private PP-FP-tree indices to find connected k-core communities sharing maximum keywords with the query in public-private graphs.