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 811–820 of 1192 papers

TitleStatusHype
On Self-Distilling Graph Neural Network—0
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization—0
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network—0
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings—0
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes—0
Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?—0
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models—0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
Graph embedding using multi-layer adjacent point merging model—0
DisenE: Disentangling Knowledge Graph Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified