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 381–390 of 1192 papers

TitleStatusHype
Do Similar Entities have Similar Embeddings?Code0
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding—0
OCGEC: One-class Graph Embedding Classification for DNN Backdoor DetectionCode0
Normed Spaces for Graph EmbeddingCode0
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural NetworksCode0
Rule-Guided Joint Embedding Learning over Knowledge Graphs—0
Location Sensitive Embedding for Knowledge Graph Reasoning—0
FoldExplorer: Fast and Accurate Protein Structure Search with Sequence-Enhanced Graph Embedding—0
Improving embedding of graphs with missing data by soft manifolds—0
Two Stream Scene Understanding on Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified