TDAR combines topology-based attribute pre-filling, dynamic node weighting, and homophily regularizers to improve attribute recovery and downstream performance on attribute-missing graphs.
Eagcn: An efficient adaptive graph convolutional network for item recommendation in social internet of things,
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Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things
TDAR combines topology-based attribute pre-filling, dynamic node weighting, and homophily regularizers to improve attribute recovery and downstream performance on attribute-missing graphs.