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 821–830 of 1192 papers

TitleStatusHype
A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
A Simple Spectral Failure Mode for Graph Convolutional Networks—0
Knowledge Graph Embedding with Atrous Convolution and Residual LearningCode0
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation—0
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing—0
Directed Graph Representation through Vector Cross Product—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings—0
On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language ModelingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified