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 1111–1120 of 1192 papers

TitleStatusHype
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators—0
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification—0
Graph Agent: Explicit Reasoning Agent for Graphs—0
Graph Analysis and Graph Pooling in the Spatial Domain—0
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning—0
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification—0
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks—0
Graph-based Multi-view Binary Learning for Image Clustering—0
Graph-based Predictable Feature Analysis—0
Dimensionality Reduction for Data in Multiple Feature Representations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified