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 981–990 of 1192 papers

TitleStatusHype
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding ModelsCode0
Authorship Recognition with Short-Text using Graph-based Techniques—0
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation—0
Hyperlink Regression via Bregman Divergence—0
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling—0
A Relational Memory-based Embedding Model for Triple Classification and Search PersonalizationCode0
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification—0
Mercem: Method Name Recommendation Based on Call Graph Embedding—0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
Network Embedding: on Compression and LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified