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 541–550 of 1192 papers

TitleStatusHype
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning—0
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies—0
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D RotationsCode0
Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs—0
Boosting Code Summarization by Embedding Code StructuresCode0
Spatio-Temporal Relation Learning for Video Anomaly Detection—0
From Local to Global: Spectral-Inspired Graph Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified