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September 5, 2025Scientific ReportsOpen Access

Heterogeneous graph convolutional network for rumor detection with multi-level interactive fusion and graph reconstruction

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Proposed MLI-GRA improves rumor detection by integrating semantic content and propagation patterns.

The proposed MLI-GRA method enhances rumor detection by effectively integrating various features.
Experiments on Twitter datasets show performance improvements, achieving state-of-the-art results.
A multi-level interactive fusion approach balances semantic and propagation features for rumor detection.
The use of a graph auto-encoder framework enables the effective modeling of dynamic propagation patterns.

Liu et al. (2025) studied this question.

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