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 81–90 of 1192 papers

TitleStatusHype
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule LearningCode1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
Approximating Network Centrality Measures Using Node Embedding and Machine LearningCode1
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource SchedulingCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Distributed-Memory Sparse Kernels for Machine LearningCode1
ECLARE: Extreme Classification with Label Graph CorrelationsCode1
A Representation Learning Framework for Property GraphsCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified