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
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
A Representation Learning Framework for Property GraphsCode1
Adversarial Graph Embeddings for Fair Influence Maximization over Social NetworksCode1
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
Continual Learning of Knowledge Graph EmbeddingsCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
Collaborative Translational Metric LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified