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 771–780 of 1192 papers

TitleStatusHype
RDF2Vec Light -- A Lightweight Approach for Knowledge Graph EmbeddingsCode1
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning—0
Learning semantic Image attributes using Image recognition and knowledge graph embeddings—0
Community detection in networks using graph embeddings—0
Understanding Coarsening for Embedding Large-Scale GraphsCode1
Scalar Coupling Constant Prediction Using Graph Embedding Local Attention Encoder—0
TorchKGE: Knowledge Graph Embedding in Python and PyTorchCode1
Graph Embedding with Data Uncertainty—0
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs—0
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified