SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 131–140 of 1192 papers

TitleStatusHype
Composition-based Multi-Relational Graph Convolutional NetworksCode1
ECLARE: Extreme Classification with Label Graph CorrelationsCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
Efficient Non-Sampling Knowledge Graph EmbeddingCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
Boosting Graph Embedding on a Single GPUCode1
Benchmark and Best Practices for Biomedical Knowledge Graph EmbeddingsCode1
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph CompletionCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified