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 1–10 of 1192 papers

TitleStatusHype
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell ModelingCode3
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and MultimodalCode3
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Combinatorial Optimization with Automated Graph Neural NetworksCode2
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of ExpertsCode2
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary SimilarityCode2
Multimodal Analogical Reasoning over Knowledge GraphsCode2
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language ModelsCode2
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified