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 201–210 of 1192 papers

TitleStatusHype
Explaining Neural Matrix Factorization with Gradient RollbackCode1
ReGVD: Revisiting Graph Neural Networks for Vulnerability DetectionCode1
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with TransformersCode1
Representing Long-Range Context for Graph Neural Networks with Global AttentionCode1
Evaluating Node Embeddings of Complex NetworksCode1
Revisiting Global Pooling through the Lens of Optimal TransportCode1
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
Continual Learning of Knowledge Graph EmbeddingsCode1
RulE: Knowledge Graph Reasoning with Rule EmbeddingCode1
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link PredictionCode1
Show:102550
← PrevPage 21 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified