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 721–730 of 1192 papers

TitleStatusHype
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
Automatic selection of clustering algorithms using supervised graph embeddingCode0
Association Rules Enhanced Knowledge Graph Attention Network—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural NetworksCode1
PairRE: Knowledge Graph Embeddings via Paired Relation VectorsCode1
Massively Parallel Graph Drawing and Representation LearningCode0
Runtime Performances Benchmark for Knowledge Graph Embedding Methods—0
On Self-Distilling Graph Neural Network—0
Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified