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 271–280 of 1192 papers

TitleStatusHype
Cross Version Defect Prediction with Class Dependency Embeddings—0
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives—0
Fast and Scalable Multi-Kernel Encoder Classifier—0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
Cross-validation of matching correlation analysis by resampling matching weights—0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
Asymmetric Transitivity Preserving Graph Embedding—0
Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs—0
Cross Domain Model Compression by Structurally Weight Sharing—0
A Survey on Visual Transfer Learning using Knowledge Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified