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 611–620 of 1192 papers

TitleStatusHype
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive ControlCode0
MoReL: Multi-omics Relational Learning—0
ModulE: Module Embedding for Knowledge Graphs—0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
Graph Representation Learning Beyond Node and HomophilyCode0
MixKG: Mixing for harder negative samples in knowledge graph—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Robust Graph Representation Learning for Local Corruption RecoveryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified