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 611–620 of 1192 papers

TitleStatusHype
Convolutional Hypercomplex Embeddings for Link PredictionCode0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
Exploring the Representational Power of Graph AutoencoderCode0
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching—0
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field—0
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph EmbeddingCode0
Relation order histograms as a network embedding toolCode0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled GraphsCode0
Scientific Dataset Discovery via Topic-level Recommendation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified