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 521–530 of 1192 papers

TitleStatusHype
Mixture-of-Graphs: Zero-shot Relational Learning for Knowledge Graph by Fusing Ontology and Textual Experts—0
Efficient Hyper-parameter Search for Knowledge Graph Embedding—0
Sequence-to-Sequence Knowledge Graph Completion and Question Answering—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
Temporal Knowledge Graph Embedding based on Multivariate Gaussian Process—0
Poisoning Knowledge Graph Embeddings via Relation Inference PatternsCode1
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision PredictionCode1
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction—0
Parallel Training of Knowledge Graph Embedding Models: A Comparison of TechniquesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified