SOTAVerified

Graph Embedding

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

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Papers

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Showing 651–675 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
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction—0
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference—0
EventKE: Event-Enhanced Knowledge Graph Embedding—0
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge GraphCode0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation—0
Graph Embedding with Hierarchical Attentive Membership—0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
GenURL: A General Framework for Unsupervised Representation Learning—0
Unbiased Graph Embedding with Biased Graph Observations—0
Degree-Based Random Walk Approach for Graph Embedding—0
SGEN: Single-cell Sequencing Graph Self-supervised Embedding Network—0
Residual2Vec: Debiasing graph embedding with random graphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified