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 376–400 of 1192 papers

TitleStatusHype
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweetsCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
Knowledge Graph Embedding with Iterative Guidance from Soft RulesCode0
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
A Simple Baseline Algorithm for Graph ClassificationCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
From Node Embedding To Community Embedding : A Hyperbolic ApproachCode0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
EchoEA: Echo Information between Entities and Relations for Entity AlignmentCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
FeatureNorm: L2 Feature Normalization for Dynamic Graph EmbeddingCode0
Compositional Fairness Constraints for Graph EmbeddingsCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
Graph U-NetsCode0
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal GraphsCode0
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph EmbeddingCode0
Dynamic Graph Representation Learning with Fourier Temporal State EmbeddingCode0
Dynamic Graph Representation Learning via Self-Attention NetworksCode0
Concept Graph Embedding Models for Enhanced Accuracy and InterpretabilityCode0
Faithiful Embeddings for EL++ Knowledge BasesCode0
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled GraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified