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 776–800 of 1192 papers

TitleStatusHype
Spatio-Temporal Relation Learning for Video Anomaly Detection—0
Spectral Augmentations for Graph Contrastive Learning—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
Spectral Embedding of Graph Networks—0
Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals—0
Spectral Graph-Based Method of Multimodal Word Embedding—0
Spectral Graph Reasoning Network for Hyperspectral Image Classification—0
Spectral Journey: How Transformers Predict the Shortest Path—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples—0
A Comprehensive Survey on Deep Graph Representation Learning—0
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion—0
Spoofing Detection in the Physical Layer with Graph Neural Networks—0
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model—0
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization—0
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning—0
Structured Query Construction via Knowledge Graph Embedding—0
Dimensionality Reduction for Data in Multiple Feature Representations—0
Subsampling for Knowledge Graph Embedding Explained—0
Survey on Embedding Models for Knowledge Graph and its Applications—0
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings—0
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified