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
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
Adaptive Graph Encoder for Attributed Graph EmbeddingCode1
Adversarial Directed Graph EmbeddingCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Adversarial Graph Embeddings for Fair Influence Maximization over Social NetworksCode1
Approximating Network Centrality Measures Using Node Embedding and Machine LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified