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 11–20 of 1192 papers

TitleStatusHype
CogDL: A Comprehensive Library for Graph Deep LearningCode2
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph EmbeddingsCode2
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified FrameworkCode2
A Survey on Knowledge Graphs: Representation, Acquisition and ApplicationsCode2
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
k-Graph: A Graph Embedding for Interpretable Time Series ClusteringCode1
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge GraphsCode1
Interpreting single-cell and spatial omics data using deep neural network training dynamicsCode1
Knowledge Graph Embedding by Normalizing FlowsCode1
Show:102550
← PrevPage 2 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified