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 601–610 of 1192 papers

TitleStatusHype
Finding MNEMON: Reviving Memories of Node Embeddings—0
Random Manifold Sampling and Joint Sparse Regularization for Multi-label Feature Selection—0
Walk this Way! Entity Walks and Property Walks for RDF2vec—0
A Survey on Graph Representation Learning Methods—0
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System—0
Augmenting Knowledge Graphs for Better Link PredictionCode0
Cluster Algebras: Network Science and Machine LearningCode0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models—0
Show:102550
← PrevPage 61 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified