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 651–660 of 1192 papers

TitleStatusHype
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows—0
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning—0
Temporal Knowledge Graph Embedding based on Multivariate Gaussian Process—0
Translating Embeddings in Document for Modeling Multi-relational Graphs—0
Mixture-of-Graphs: Zero-shot Relational Learning for Knowledge Graph by Fusing Ontology and Textual Experts—0
Sequence-to-Sequence Knowledge Graph Completion and Question Answering—0
Efficient Hyper-parameter Search for Knowledge Graph Embedding—0
ReadE: Learning Relation-Dependent Entity Representation for Knowledge Graph Completion—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified