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 981–990 of 1192 papers

TitleStatusHype
Unsupervised Adversarial Graph Alignment with Graph Embedding—0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
Probabilistic Logic Neural Networks for ReasoningCode0
Attributed Graph Clustering: A Deep Attentional Embedding ApproachCode0
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach—0
Spaceland Embedding of Sparse Stochastic Graphs—0
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
Graph Embedding based Wireless Link Scheduling with Few Training SamplesCode0
Learning Representations of Graph Data -- A Survey—0
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation—0
Show:102550
← PrevPage 99 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified