Multi-view graph imputation network

Published: 01 Jan 2024, Last Modified: 26 Jul 2025Inf. Fusion 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•In the real world, it is difficult to analyze attribute-missing graphs.•Propose a novel self-supervised graph representation learning method for attribute-missing graphs.•Perform attribute imputation in the input space of the attribute-missing graph.•Demonstrate state-of-the-art performance on four benchmark datasets.
Loading