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 851–860 of 1192 papers

TitleStatusHype
Overcoming Data Sparsity in Group Recommendation—0
TransG : A Generative Model for Knowledge Graph Embedding—0
P^2IR: Universal Deep Node Representation via Partial Permutation Invariant Set Functions—0
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules—0
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks—0
Walk this Way! Entity Walks and Property Walks for RDF2vec—0
Parallel Computation of Graph Embeddings—0
Binarized Graph Neural Network—0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified