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 951–960 of 1192 papers

TitleStatusHype
Concept Graph Embedding Models for Enhanced Accuracy and InterpretabilityCode0
Conditional Structure Generation through Graph Variational Generative Adversarial NetsCode0
Connector 0.5: A unified framework for graph representation learningCode0
Contextualized Structural Self-supervised Learning for Ontology MatchingCode0
Convolutional Hypercomplex Embeddings for Link PredictionCode0
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph EmbeddingCode0
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree DistributionCode0
CSSR: A Context-Aware Sequential Software Service Recommendation ModelCode0
CS-TGN: Community Search via Temporal Graph Neural NetworksCode0
DAGCN: Dual Attention Graph Convolutional NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified