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 941–950 of 1192 papers

TitleStatusHype
Relation Embedding for Personalised POI Recommendation—0
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation—0
Relevance Score of Triplets Using Knowledge Graph Embedding - The Pigweed Triple Scorer at WSDM Cup 2017—0
RelWalk -- A Latent Variable Model Approach to Knowledge Graph Embedding—0
Two Stream Scene Understanding on Graph Embedding—0
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding—0
Why does Negative Sampling not Work Well? Analysis of Convexity in Negative Sampling—0
Unbiased Graph Embedding with Biased Graph Observations—0
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified