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 191–200 of 1192 papers

TitleStatusHype
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource SchedulingCode1
Multi-View Brain HyperConnectome AutoEncoder For Brain State ClassificationCode1
Network-principled deep generative models for designing drug combinations as graph setsCode1
Graph Neural Networks for Distributed Power Allocation in Wireless Networks: Aggregation Over-the-AirCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksCode1
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph EmbeddingCode1
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New InsightsCode1
Embedding API Dependency Graph for Neural Code GenerationCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified