HP-JEPA: hierarchical partitioning for multi-resolution graph joint-embedding predictive learning
Read the original at arxiv.org→arXiv:2608.00491v1 Announce Type: new Abstract: Graph self-supervised learning aims to learn transferable representations from large-scale unlabeled graph data. Joint-embedding predictive architectures (JEPAs) avoid...
Original headline: "HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning"
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- Aug 4, 04:00 UTC arXiv cs.LG lead source HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning