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 61–70 of 1192 papers

TitleStatusHype
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer—0
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis—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
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified