Early detection of Alzheimer’s disease (AD) through spontaneous speech analysis represents a promising, non-invasive diagnostic approach. Existing methods predominantly rely on fusion-based multimodal ...
Graph representation learning (GRL) has emerged as an effective technique for modeling graph-structured data. When modeling the heterogeneity and dynamics in real-world complex networks, GRL methods ...
Abstract: We explore the application of advanced neural network techniques in Electronic Health Records (EHR) for disease prediction. Traditional methods using Recurrent Neural Networks (RNNs) have ...
Abstract: Subcircuit matching is widely applied in logic synthesis, design verification, hardware security, etc. Previous works employ redundant circuit representations, coupled with timeconsuming ...
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