SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 441–450 of 1192 papers

TitleStatusHype
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal RestrictionCode0
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space—0
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation—0
Finding MNEMON: Reviving Memories of Node Embeddings—0
Random Manifold Sampling and Joint Sparse Regularization for Multi-label Feature Selection—0
Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic RepresentationsCode1
Walk this Way! Entity Walks and Property Walks for RDF2vec—0
A Survey on Graph Representation Learning Methods—0
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified