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 841–850 of 1192 papers

TitleStatusHype
Scalable Recommendation of Wikipedia Articles to Editors Using Representation LearningCode0
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs—0
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction—0
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning—0
Learning semantic Image attributes using Image recognition and knowledge graph embeddings—0
Community detection in networks using graph embeddings—0
Scalar Coupling Constant Prediction Using Graph Embedding Local Attention Encoder—0
Graph Embedding with Data Uncertainty—0
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs—0
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified