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 641–650 of 1192 papers

TitleStatusHype
Parallel Computation of Graph Embeddings—0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
Pattern Analysis of Money Flow in the Bitcoin Blockchain—0
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks—0
Persian topic detection based on Human Word association and graph embedding—0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels—0
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions—0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified