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 861–870 of 1192 papers

TitleStatusHype
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens—0
NASGEM: Neural Architecture Search via Graph Embedding Method—0
Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals—0
Overlapping Spaces for Compact Graph RepresentationsCode0
Knowledge Graph Embedding Compression—0
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding—0
TreeRNN: Topology-Preserving Deep GraphEmbedding and LearningCode0
Pairwise Supervision Can Provably Elicit a Decision Boundary—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified