Reduced Flexible Manifold Embedding

Towards Dynamic Self-Training for Scalable Semi-Supervised Learning on Graphs
In the realm of graph-based semi-supervised learning (GSSL), traditional methodologies often struggle to effectively handle labeled …
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Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology
Recently, graph-based semi-supervised learning (GSSL) has garnered significant interest in the realms of machine learning and pattern …
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