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 1071–1080 of 1192 papers

TitleStatusHype
Knowledge Graph Embedding for Ecotoxicological Effect PredictionCode0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
Knowledge Graph Embedding via Dynamic Mapping MatrixCode0
Knowledge Graph Embedding with 3D Compound Geometric TransformationsCode0
Knowledge Graph Embedding with Atrous Convolution and Residual LearningCode0
Knowledge Graph Embedding with Iterative Guidance from Soft RulesCode0
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor FactorizationCode0
Knowledge Graph Refinement based on Triplet BERT-NetworksCode0
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral EmbeddingCode0
Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning CandidatesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified