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 111–120 of 1192 papers

TitleStatusHype
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
Contrastive Laplacian EigenmapsCode1
Inductive Representation Learning on Temporal GraphsCode1
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed GraphsCode1
IntelliGraphs: Datasets for Benchmarking Knowledge Graph GenerationCode1
Iterative Context-Aware Graph Inference for Visual DialogCode1
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node EmbeddingsCode1
Disentangle-based Continual Graph Representation LearningCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified