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 731–740 of 1192 papers

TitleStatusHype
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings—0
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models—0
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes—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
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
A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified