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 851–860 of 1192 papers

TitleStatusHype
VGCN-BERT: Augmenting BERT with Graph Embedding for Text ClassificationCode1
Iterative Context-Aware Graph Inference for Visual DialogCode1
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations—0
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
Unsupervised Graph Embedding via Adaptive Graph Learning—0
Supervised Domain Adaptation using Graph EmbeddingCode1
Show:102550
← PrevPage 86 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified