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 91–100 of 1192 papers

TitleStatusHype
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Evaluating Node Embeddings of Complex NetworksCode1
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding SpaceCode1
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
Bilinear Scoring Function Search for Knowledge Graph LearningCode1
Benchmark and Best Practices for Biomedical Knowledge Graph EmbeddingsCode1
funcGNN: A Graph Neural Network Approach to Program SimilarityCode1
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural NetworksCode1
AirObject: A Temporally Evolving Graph Embedding for Object IdentificationCode1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link PredictionCode1
Show:102550
← PrevPage 10 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified