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 21–30 of 1192 papers

TitleStatusHype
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
Deep Cut-informed Graph Embedding and Clustering—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
k-Graph: A Graph Embedding for Interpretable Time Series ClusteringCode1
Recent Advances in Malware Detection: Graph Learning and Explainability—0
Spectral Journey: How Transformers Predict the Shortest Path—0
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
A Geometric Perspective for High-Dimensional Multiplex GraphsCode0
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified