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 151–160 of 1192 papers

TitleStatusHype
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous KnowledgeCode1
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain ConnectivityCode1
Collaborative Translational Metric LearningCode1
Deep Hypergraph U-Net for Brain Graph Embedding and ClassificationCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
Generalizing Knowledge Graph Embedding with Universal Orthogonal ParameterizationCode1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Show:102550
← PrevPage 16 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified