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 301–325 of 1192 papers

TitleStatusHype
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User AnomaliesCode0
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning—0
The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion ModelsCode0
A Survey on Signed Graph Embedding: Methods and Applications—0
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding—0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
Single-cell Curriculum Learning-based Deep Graph Embedding ClusteringCode0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Concept Graph Embedding Models for Enhanced Accuracy and InterpretabilityCode0
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation—0
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph EmbeddingCode0
Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs—0
On The Expressive Power of Knowledge Graph Embedding Methods—0
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning—0
KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting—0
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks—0
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation—0
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph EmbeddingCode0
Croppable Knowledge Graph Embedding—0
Spectral Graph Reasoning Network for Hyperspectral Image Classification—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified