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News/Fast and Featureless Node Representation Learning with Partial Pairwise Supervision
arxiv
PublishedMay 21, 2026 at 4:00 AM
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Fast and Featureless Node Representation Learning with Partial Pairwise Supervision

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Publisher summary· verbatim

arXiv:2605.19916v1 Announce Type: cross Abstract: We introduce Contrastive FUSE, a fast and unified framework for scalable node representation learning in graphs with partially available pairwise node labels and no available node features. Unlike existing methods, we directly optimize a spectral con

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    Contrastive FUSE
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#machine-learning#graph-learning#optimization#scalability

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Mentioned models
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  • 01
    Contrastive FUSE
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↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#graph-learning#optimization#scalability

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