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 91–100 of 1192 papers

TitleStatusHype
Motif Graph Neural NetworkCode1
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge GraphsCode1
SHGNN: Structure-Aware Heterogeneous Graph Neural NetworkCode1
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed GraphsCode1
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
Poisoning Knowledge Graph Embeddings via Relation Inference PatternsCode1
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision PredictionCode1
Parallel Training of Knowledge Graph Embedding Models: A Comparison of TechniquesCode1
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph EmbeddingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified