SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

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Showing 11–20 of 1192 papers

TitleStatusHype
Multimodal Analogical Reasoning over Knowledge GraphsCode2
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language ModelsCode2
Combinatorial Optimization with Automated Graph Neural NetworksCode2
A Survey on Knowledge Graphs: Representation, Acquisition and ApplicationsCode2
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified