Hypergraph representations
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Hypergraph representations
Most implemented papers
HNHN: Hypergraph Networks with Hyperedge Neurons
Hypergraphs provide a natural representation for many real world datasets.
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
yy-ko/cash
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To tackle both challenges together, in this paper, we propose a novel hyperedge prediction framework (CASH) that employs (1) context-aware node aggregation to precisely capture complex relations among nodes in each hyperedge for (C1) and (2) self-supervised contrastive learning in the context of hyperedge prediction to enhance hypergraph representations for (C2).
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
kswoo97/hypeboy
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Based on the generative SSL task, we propose a hypergraph SSL method, HypeBoy.
