SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Showing 151160 of 1192 papers

TitleStatusHype
Disentangle-based Continual Graph Representation LearningCode1
TeRo: A Time-aware Knowledge Graph Embedding via Temporal RotationCode1
LibKGE - A knowledge graph embedding library for reproducible researchCode1
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Multi-View Brain HyperConnectome AutoEncoder For Brain State ClassificationCode1
Force2Vec: Parallel force-directed graph embeddingCode1
RDF2Vec Light -- A Lightweight Approach for Knowledge Graph EmbeddingsCode1
Understanding Coarsening for Embedding Large-Scale GraphsCode1
TorchKGE: Knowledge Graph Embedding in Python and PyTorchCode1
Deep Hypergraph U-Net for Brain Graph Embedding and ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified