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Multi-granularity Adaptive Hypergraph Representation Learning via Granular-ball

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05574v1 Announce Type: new Abstract: Hypergraph representation learning aims to capture high-order information in graphs by constructing hyperedges that simultaneously connect multiple nodes. These hyperedges adapt to the graph's topological features, facilitating the extraction of high-…

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  1. 2026-09-09 04:00 · arXiv cs.LG
    Multi-granularity Adaptive Hypergraph Representation Learning via Granular-ball

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