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 41–50 of 1192 papers

TitleStatusHype
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInECode1
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksCode1
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with TransformersCode1
How to Turn Your Knowledge Graph Embeddings into Generative ModelsCode1
Friendly Neighbors: Contextualized Sequence-to-Sequence Link PredictionCode1
Synergistic Graph Fusion via Encoder EmbeddingCode1
SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph GenerationCode1
NESS: Node Embeddings from Static SubGraphsCode1
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified