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 941950 of 1192 papers

TitleStatusHype
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community LabelingCode0
Spatio-Temporal Action Graph NetworksCode0
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User AnomaliesCode0
Cluster Algebras: Network Science and Machine LearningCode0
CoKE: Contextualized Knowledge Graph EmbeddingCode0
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweetsCode0
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation LearningCode0
Compositional Fairness Constraints for Graph EmbeddingsCode0
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified