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 161–170 of 1192 papers

TitleStatusHype
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
Deep Hypergraph U-Net for Brain Graph Embedding and ClassificationCode1
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule LearningCode1
CausE: Towards Causal Knowledge Graph EmbeddingCode1
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
IntelliGraphs: Datasets for Benchmarking Knowledge Graph GenerationCode1
Approximating Network Centrality Measures Using Node Embedding and Machine LearningCode1
Expressive Power of Invariant and Equivariant Graph Neural NetworksCode1
Jointly Non-Sampling Learning for Knowledge Graph Enhanced RecommendationCode1
FedE: Embedding Knowledge Graphs in Federated SettingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified