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 671–680 of 1192 papers

TitleStatusHype
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer—0
Pykg2vec: A Python Library for Knowledge Graph Embedding—0
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation—0
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed—0
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding—0
Deep Contrastive Multiview Network Embedding—0
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding—0
Deep Cut-informed Graph Embedding and Clustering—0
Show:102550
← PrevPage 68 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified