Federated heterogeneous subgraph learning with meta-path-guided role mapping and condensation
Heterogeneous graphs are a widely adopted data representation paradigm owing to their ability to model multiple node types and complex relationships uniformly. However, due to privacy and ownership restrictions, semantic-rich heterogeneous graphs are often stored by multiple participants, each of whom holds a subgraph....