hypergraph embedding
4 papers with code • 0 benchmarks • 0 datasets
Compute useful representations of hyperedges and vertices
Benchmarks
These leaderboards are used to track progress in hypergraph embedding
Most implemented papers
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs
Josh-Payne/deep-hyperedges
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From social networks to protein complexes to disease genomes to visual data, hypergraphs are everywhere.
Knowledge Hypergraph Embedding Meets Relational Algebra
Embedding-based methods for reasoning in knowledge hypergraphs learn a representation for each entity and relation.
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
The multimodal recommendation has gradually become the infrastructure of online media platforms, enabling them to provide personalized service to users through a joint modeling of user historical behaviors (e. g., purchases, clicks) and item various modalities (e. g., visual and textual).
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
Specifically, to address the data heterogeneity across domains, we introduce an approach called hypergraph signal decoupling (HSD) to decouple the user features into domain-exclusive and domain-shared features.
