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 501–525 of 1192 papers

TitleStatusHype
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning—0
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs—0
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms—0
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding—0
Topologically Regularized Data EmbeddingsCode0
Predicting missing annotations in Gene Ontology with Knowledge Graph Embeddings and True Path RuleCode0
Cross Version Defect Prediction with Class Dependency Embeddings—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
Multi-view Graph Convolutional Networks with Differentiable Node Selection—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples—0
Dissimilar Nodes Improve Graph Active LearningCode0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations—0
Self Supervised Clustering of Traffic Scenes using Graph Representations—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
Knowledge Graph Refinement based on Triplet BERT-NetworksCode0
FairMILE: Towards an Efficient Framework for Fair Graph Representation LearningCode0
A robust feature reinforcement framework for heterogeneous graphs neural networksCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
DeepE: a deep neural network for knowledge graph embeddingCode0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified