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 626–650 of 1192 papers

TitleStatusHype
A Survey on Visual Transfer Learning using Knowledge Graphs—0
Faithiful Embeddings for EL++ Knowledge BasesCode0
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community LabelingCode0
Detection of Correlated Alarms Using Graph Embedding—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
Scaling Knowledge Graph Embedding Models—0
Stay Positive: Knowledge Graph Embedding Without Negative SamplingCode0
Neighbor2vec: an efficient and effective method for Graph Embedding—0
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network—0
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings—0
Semi-Supervised Graph Attention Networks for Event Representation LearningCode0
CSSR: A Context-Aware Sequential Software Service Recommendation ModelCode0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
Manifold learning via quantum dynamics—0
Two-view Graph Neural Networks for Knowledge Graph CompletionCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules—0
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding—0
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed—0
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph EmbeddingsCode0
Controversy Detection: a Text and Graph Neural Network Based Approach—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images—0
MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified