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 21–30 of 1192 papers

TitleStatusHype
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
Adaptive Graph Encoder for Attributed Graph EmbeddingCode1
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed GraphsCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionCode1
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified