SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 861–870 of 1192 papers

TitleStatusHype
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models—0
Unsupervised Universal Self-Attention Network for Graph Classification—0
Untargeted Adversarial Attack on Knowledge Graph Embeddings—0
Using Graph Algorithms to Pretrain Graph Completion Transformers—0
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms—0
Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image—0
Domain Representation for Knowledge Graph Embedding—0
Variational Quantum Circuit Model for Knowledge Graphs Embedding—0
Vertex Nomination, Consistent Estimation, and Adversarial Modification—0
Visualization of Knowledge Graphs with Embeddings: an Essay on Recent Trends and Methods—0
Show:102550
← PrevPage 87 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified