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Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2025.3580101
Abstract: The graph-structured learning (GSL) aims to assist graph neural networks (GNNs) to yield effective node embeddings for downstream tasks, especially in scenarios with the absence of structures or the existence of unreliable edges. Most GSL…
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Keywords:
structure;
learning framework;
nonparametric structure;
generalizable nonparametric ... See more keywords