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 171–180 of 1192 papers

TitleStatusHype
Expressive Power of Invariant and Equivariant Graph Neural NetworksCode1
Benchmark and Best Practices for Biomedical Knowledge Graph EmbeddingsCode1
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node EmbeddingsCode1
Wasserstein Embedding for Graph LearningCode1
Knowledge Embedding Based Graph Convolutional NetworkCode1
DeepGG: a Deep Graph GeneratorCode1
Persona2vec: A Flexible Multi-role Representations Learning Framework for GraphsCode1
Deep Learning for Community Detection: Progress, Challenges and OpportunitiesCode1
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource SchedulingCode1
Adversarial Graph Embeddings for Fair Influence Maximization over Social NetworksCode1
Show:102550
← PrevPage 18 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified