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 1061–1070 of 1192 papers

TitleStatusHype
DynamicGEM: A Library for Dynamic Graph Embedding MethodsCode0
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains—0
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional NetworksCode0
Data-Efficient Graph Embedding Learning for PCB Component Detection—0
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces—0
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Multi-Task Graph AutoencodersCode0
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph EmbeddingCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified