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 191–200 of 1192 papers

TitleStatusHype
Network-principled deep generative models for designing drug combinations as graph setsCode1
VGCN-BERT: Augmenting BERT with Graph Embedding for Text ClassificationCode1
Iterative Context-Aware Graph Inference for Visual DialogCode1
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
Supervised Domain Adaptation using Graph EmbeddingCode1
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
Inductive Representation Learning on Temporal GraphsCode1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Knowledge Graph Embedding for Link Prediction: A Comparative AnalysisCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified