NeuroMambaLLM learns dynamic brain graphs from fMRI with a Mamba model and a frozen LLaMA-3-8B with LoRA, reaching 72.12% accuracy on ABIDE I.
Ptgb: Pre-train graph neural networks for brain network analysis
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RSEA-MVGNN estimates view uncertainty with subjective logic to enable diverse feature enhancement through de-correlation and quality-aware aggregation in GNNs, outperforming prior methods on five datasets.
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NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning
NeuroMambaLLM learns dynamic brain graphs from fMRI with a Mamba model and a frozen LLaMA-3-8B with LoRA, reaching 72.12% accuracy on ABIDE I.
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RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation
RSEA-MVGNN estimates view uncertainty with subjective logic to enable diverse feature enhancement through de-correlation and quality-aware aggregation in GNNs, outperforming prior methods on five datasets.