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Graph structure learning

Semi-supervised node classification when a graph structure is not available.

Papers

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Showing 51–100 of 132 papers

TitleStatusHype
OpenGSL: A Comprehensive Benchmark for Graph Structure LearningCode0
Path Signature Area-Based Causal Discovery in Coupled Time SeriesCode0
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine ComprehensionCode0
Learning Attribute-Structure Co-Evolutions in Dynamic GraphsCode0
Learning Social Graph for Inactive User RecommendationCode0
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space ModelsCode0
Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq dataCode0
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsCode0
RDGSL: Dynamic Graph Representation Learning with Structure LearningCode0
Spatio-Temporal Graph Structure Learning for Earthquake DetectionCode0
Learning Latent Graph Structures and their UncertaintyCode0
Variationally Regularized Graph-based Representation Learning for Electronic Health RecordsCode0
Robust Graph Structure Learning via Multiple Statistical TestsCode0
UGSL: A Unified Framework for Benchmarking Graph Structure LearningCode0
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative LearningCode0
Unsupervised Graph Clustering with Deep Structural EntropyCode0
Spectrum Prediction via Graph Structure LearningCode0
Search to Capture Long-range Dependency with Stacking GNNs for Graph ClassificationCode0
Weighted Graph Structure Learning with Attention Denoising for Node ClassificationCode0
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node EmbeddingCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure LearningCode0
Spatio-Temporal Graph Structure Learning for Traffic Forecasting—0
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning—0
Bi-Level Graph Structure Learning for Next POI Recommendation—0
Boolean Product Graph Neural Networks—0
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning—0
Collective Relational Inference for learning heterogeneous interactions—0
Concept Factorization via Self-Representation and Adaptive Graph Structure Learning—0
A Survey on Graph Structure Learning: Progress and Opportunities—0
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing—0
Deep Unsupervised Active Learning on Learnable Graphs—0
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning—0
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs—0
Exploring High-Order Structure for Robust Graph Structure Learning—0
Extracting Inter-Protein Interactions Via Multitasking Graph Structure Learning—0
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning—0
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck—0
GEDI: A Graph-based End-to-end Data Imputation Framework—0
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Graph Differentiable Architecture Search with Structure Learning—0
GraphFLEx: Structure Learning Framework for Large Expanding Graphs—0
Graph Generation with Variational Recurrent Neural Network—0
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions—0
Graph Structural Residuals: A Learning Approach to Diagnosis—0
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism—0
Graph Structure Learning from Unlabeled Data for Event Detection—0
Graph Structure Learning with Bi-level Optimization—0
Graph Structure Learning with Interpretable Bayesian Neural Networks—0
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