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 721–730 of 1192 papers

TitleStatusHype
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs—0
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
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph EmbeddingCode0
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field—0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
Relation order histograms as a network embedding toolCode0
Scientific Dataset Discovery via Topic-level Recommendation—0
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled GraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified