SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 1192 papers

TitleStatusHype
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot ActionsCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
Efficient Parallel Translating Embedding For Knowledge GraphsCode0
Efficiently Visualizing Large GraphsCode0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
Hierarchical stochastic graphlet embedding for graph-based pattern recognitionCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical StudyCode0
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement LearningCode0
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature AggregationCode0
A Physical Embedding Model for Knowledge GraphsCode0
Graph Representation Learning: A SurveyCode0
Graph Representation Learning Beyond Node and HomophilyCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified