Abstract: Highlights•Propose a noise-resistant graph neural network with manifold and label consistency.•Neighbor label correction and consistency regularization guide model training.•Intuitively analyze the feasibility of the proposed constraints.
External IDs:dblp:journals/eswa/LuLWZZZ24
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