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 71–80 of 1192 papers

TitleStatusHype
Benchmark and Best Practices for Biomedical Knowledge Graph EmbeddingsCode1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
Adversarial Graph Embeddings for Fair Influence Maximization over Social NetworksCode1
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
A Representation Learning Framework for Property GraphsCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
ARM3D: Attention-based relation module for indoor 3D object detectionCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph CompletionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified