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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 351–400 of 1192 papers

TitleStatusHype
Approximate spectral clustering density-based similarity for noisy datasetsCode0
Embedding Graphs on Grassmann ManifoldCode0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Cluster Algebras: Network Science and Machine LearningCode0
A Geometric Perspective for High-Dimensional Multiplex GraphsCode0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation LearningCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
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
Hierarchical stochastic graphlet embedding for graph-based pattern recognitionCode0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning CandidatesCode0
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement LearningCode0
A robust feature reinforcement framework for heterogeneous graphs neural networksCode0
Knowledge Graph Embedding by Translating on HyperplanesCode0
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature AggregationCode0
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweetsCode0
Fairwalk: Towards fair graph embeddingCode0
Knowledge Graph Embedding via Dynamic Mapping MatrixCode0
A Physical Embedding Model for Knowledge GraphsCode0
A Simple Baseline Algorithm for Graph ClassificationCode0
Fast Attributed Graph Embedding via Density of StatesCode0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
GraphVAE: Towards Generation of Small Graphs Using Variational AutoencodersCode0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
Graph U-NetsCode0
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
FeatureNorm: L2 Feature Normalization for Dynamic Graph EmbeddingCode0
Compositional Fairness Constraints for Graph EmbeddingsCode0
EchoEA: Echo Information between Entities and Relations for Entity AlignmentCode0
Graph Representation Learning Beyond Node and HomophilyCode0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation LearningCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Graph Representation Learning: A SurveyCode0
Concept Graph Embedding Models for Enhanced Accuracy and InterpretabilityCode0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal GraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified