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 1151–1160 of 1192 papers

TitleStatusHype
Scalable Recommendation of Wikipedia Articles to Editors Using Representation LearningCode0
Semi-Supervised Graph Attention Networks for Event Representation LearningCode0
Semi-Supervised Graph Classification: A Hierarchical Graph PerspectiveCode0
Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embeddingCode0
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex SpaceCode0
Single-cell Curriculum Learning-based Deep Graph Embedding ClusteringCode0
SPADE: A Spectral Method for Black-Box Adversarial Robustness EvaluationCode0
Spectral Clustering for Divide-and-Conquer Graph MatchingCode0
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph EmbeddingCode0
Speed-up and multi-view extensions to Subclass Discriminant AnalysisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified