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Modular effective resistance-guided multi-scale graph representation learning
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DOI：10.1016/j.patrec.2026.07.034.png)
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Abstract
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• A modular effective resistance technique (MERT) for scalable graph learning.
• Fusion of fine- and coarse-grained structural information in graphs.
• Modular topology optimization for large-scale graph representation.
• State-of-the-art performance on small and large benchmark datasets.
Keywords:
Graph neural network
Multi-scale learning
Graph partition
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