A per-step layer-wise embedding exchange in federated GNNs recovers centralized node representations for cross-client subgraph patterns under an extended-subgraph assumption.
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) , year =
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Federated Cross-Client Subgraph Pattern Detection
A per-step layer-wise embedding exchange in federated GNNs recovers centralized node representations for cross-client subgraph patterns under an extended-subgraph assumption.