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 476–500 of 1192 papers

TitleStatusHype
Benchmarks for Graph Embedding EvaluationCode0
An FEA surrogate model with Boundary Oriented Graph Embedding approachCode0
SPADE: A Spectral Method for Black-Box Adversarial Robustness EvaluationCode0
Hierarchical stochastic graphlet embedding for graph-based pattern recognitionCode0
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation LearningCode0
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRankCode0
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksCode0
struc2vec: Learning Node Representations from Structural IdentityCode0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding RepresentationsCode0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
Accurate, Efficient and Scalable Graph EmbeddingCode0
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 Difference0—Unverified