SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Showing 491500 of 1192 papers

TitleStatusHype
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
Balancing between the Local and Global Structures (LGS) in Graph EmbeddingCode0
Development of a Knowledge Graph Embeddings Model for PainCode0
Unify Local and Global Information for Top-N RecommendationCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder IdentificationCode0
Graph Representation Learning Beyond Node and HomophilyCode0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Graph U-NetsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified