A gated fusion of graph attention networks on semantic, dependency, and co-occurrence graphs from speech achieves 90% accuracy for Alzheimer's detection on the ADReSSo dataset.
Iterative Deep Graph Learn- ing for Graph Neural Networks: Better and Robust Node Embed- dings,
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Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection
A gated fusion of graph attention networks on semantic, dependency, and co-occurrence graphs from speech achieves 90% accuracy for Alzheimer's detection on the ADReSSo dataset.