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 311–320 of 1192 papers

TitleStatusHype
5* Knowledge Graph Embeddings with Projective Transformations—0
Association Rules Enhanced Knowledge Graph Attention Network—0
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction—0
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations—0
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs—0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding—0
A Simple Spectral Failure Mode for Graph Convolutional Networks—0
Composing Knowledge Graph Embeddings via Word Embeddings—0
Consensus Clustering: An Embedding Perspective, Extension and Beyond—0
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified