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AdaptedNorm: An Adaptive Modeling Strategy for Graph Convolutional Network-Based Deep Learning Tasks
Published 2025-01-01“…This study proposes AdaptedNorm, a principled framework that establishes connections between normalization schemes and GCN task objectives, while introducing three key contributions: 1) A novel random walk re-normalized transformation (RWRT) technique for graph representation normalization; 2) A task-aligned modeling paradigm demonstrating that symmetric re-normalized transformation (SRT) enhances node classification accuracy, while RWRT achieves superior performance in link prediction; 3) Integration of normalization schemes with GNN sparsification strategies, enabling effective model compression without sacrificing performance. …”
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Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training
Published 2025-04-01Get full text
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Comparisons of Measured and Predicted Pavement Strain in Full-Scale Accelerated Pavement Testing
Published 2010-12-01Get full text
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The effect of strain rate sensitivity on the prediction of the formability of advanced high strength steels
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The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning
Published 2022-03-01Get full text
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