Cui-Cui Wang

Structural Embedding Representation Method (SERM): A Masked Self-Supervised Framework for Structural Embedding Learning in Complex Networks

SERM integrates topology-aware graph propagation with masked self-supervised reconstruction, a masked self-supervised framework for network-level structural representation learning that captures useful structural information and remains applicable across several network-level evaluation settings.