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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 301–350 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
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding—0
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsCode0
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python—0
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
Fast and Scalable Multi-Kernel Encoder Classifier—0
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma—0
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph PredictionsCode0
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding—0
Valid Conformal Prediction for Dynamic GNNsCode0
A Canonicalization Perspective on Invariant and Equivariant LearningCode0
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
FedSheafHN: Personalized Federated Learning on Graph-structured Data—0
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network—0
Adaptive Fuzzy C-Means with Graph Embedding—0
Simplicity within biological complexity—0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
Untargeted Adversarial Attack on Knowledge Graph Embeddings—0
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph EmbeddingCode0
Robustness of graph embedding methods for community detectionCode0
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings—0
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set RetrievalCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified