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 841–850 of 1192 papers

TitleStatusHype
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding—0
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph CompletionCode1
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic LiftingCode1
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental ProtocolCode1
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral ImageCode1
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link PredictionCode1
Binarized Graph Neural Network—0
Network-principled deep generative models for designing drug combinations as graph setsCode1
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified