SOTAVerified

Graph Embedding

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

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Papers

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Showing 31–40 of 1192 papers

TitleStatusHype
ARM3D: Attention-based relation module for indoor 3D object detectionCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule LearningCode1
Benchmark and Best Practices for Biomedical Knowledge Graph EmbeddingsCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
Adversarial Graph Embeddings for Fair Influence Maximization over Social NetworksCode1
Adversarial Directed Graph EmbeddingCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified