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 291–300 of 1192 papers

TitleStatusHype
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question AnsweringCode0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding—0
SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph GenerationCode1
CS-TGN: Community Search via Temporal Graph Neural NetworksCode0
NESS: Node Embeddings from Static SubGraphsCode1
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery—0
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
Diversity matters: Robustness of bias measurements in WikidataCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Random projection tree similarity metric for SpectralNetCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified