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Graph structure learning

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

Papers

Showing 76100 of 132 papers

TitleStatusHype
Boolean Product Graph Neural Networks0
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning0
Collective Relational Inference for learning heterogeneous interactions0
Concept Factorization via Self-Representation and Adaptive Graph Structure Learning0
A Survey on Graph Structure Learning: Progress and Opportunities0
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing0
Deep Unsupervised Active Learning on Learnable Graphs0
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning0
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs0
Exploring High-Order Structure for Robust Graph Structure Learning0
Extracting Inter-Protein Interactions Via Multitasking Graph Structure Learning0
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning0
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck0
GEDI: A Graph-based End-to-end Data Imputation Framework0
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection0
Graph Differentiable Architecture Search with Structure Learning0
GraphFLEx: Structure Learning Framework for Large Expanding Graphs0
Graph Generation with Variational Recurrent Neural Network0
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions0
Graph Structural Residuals: A Learning Approach to Diagnosis0
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism0
Graph Structure Learning from Unlabeled Data for Event Detection0
Graph Structure Learning with Bi-level Optimization0
Graph Structure Learning with Interpretable Bayesian Neural Networks0
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