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 51–60 of 1192 papers

TitleStatusHype
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
Adaptive Graph Encoder for Attributed Graph EmbeddingCode1
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionCode1
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
Deep Learning for Community Detection: Progress, Challenges and OpportunitiesCode1
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed GraphsCode1
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelCode1
Analogical Inference Enhanced Knowledge Graph EmbeddingCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified