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 381–390 of 1192 papers

TitleStatusHype
Community Detection in General Hypergraph via Graph Embedding—0
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding—0
Representing Hierarchical Structure by Using Cone Embedding—0
Class Granularity: How richly does your knowledge graph represent the real world?—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding—0
Feature Learning for Meta-Paths in Knowledge Graphs—0
A Simple Spectral Failure Mode for Graph Convolutional Networks—0
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks—0
Show:102550
← PrevPage 39 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified