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 281–290 of 1192 papers

TitleStatusHype
Detecting text level intellectual influence with knowledge graph embeddings—0
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis—0
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer—0
Resilience in Knowledge Graph Embeddings—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis—0
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph PruningCode0
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties—0
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding—0
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified