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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
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
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes—0
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection—0
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection—0
Iterative Deep Graph Learning for Graph Neural Networks—0
KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes—0
Label-informed Graph Structure Learning for Node Classification—0
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points—0
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting—0
MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflow—0
Molecular Property Prediction Based on Graph Structure Learning—0
Multi-Modal Video Dialog State Tracking in the Wild—0
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling—0
Multi-view graph structure learning using subspace merging on Grassmann manifold—0
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning—0
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals—0
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning—0
Programming knowledge tracing based on heterogeneous graph representation—0
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction—0
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations—0
Rethinking Structure Learning For Graph Neural Networks—0
Robust Graph Structure Learning under Heterophily—0
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix—0
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting—0
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information—0
Semi-Supervised Clustering via Dynamic Graph Structure Learning—0
Spatiotemporal Graph Neural Network Modelling Perfusion MRI—0
Spatio-Temporal Graph Structure Learning for Traffic Forecasting—0
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