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 326350 of 1192 papers

TitleStatusHype
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
Graph U-NetsCode0
GraphVAE: Towards Generation of Small Graphs Using Variational AutoencodersCode0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
Approximate spectral clustering density-based similarity for noisy datasetsCode0
Embedding Graphs on Grassmann ManifoldCode0
Graph Representation Learning: A SurveyCode0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Graph Representation Learning Beyond Node and HomophilyCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Robust Graph Representation Learning for Local Corruption RecoveryCode0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Graph Representation Ensemble LearningCode0
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation LearningCode0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified