SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–210 of 1192 papers

TitleStatusHype
Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative FilteringCode0
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation LearningCode0
Privacy-Preserving Graph Embedding based on Local Differential PrivacyCode0
Efficiently Visualizing Large GraphsCode0
Node-based Knowledge Graph Contrastive Learning for Medical Relationship PredictionCode0
Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph EmbeddingCode0
Relation-aware Ensemble Learning for Knowledge Graph EmbeddingCode1
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive LearningCode0
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
Multidimensional Hopfield Networks for clustering—0
Show:102550
← PrevPage 21 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified