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 131–140 of 1192 papers

TitleStatusHype
Continual Learning of Knowledge Graph EmbeddingsCode1
Bilinear Scoring Function Search for Knowledge Graph LearningCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain ConnectivityCode1
Benchmark and Best Practices for Biomedical Knowledge Graph EmbeddingsCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified