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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning AAAI 2026

Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network AAAI 2026

MCI-Net: A Robust Multi-Domain Context Integration Network for Point Cloud Registration AAAI 2026

Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing AAAI 2026

Learning Fair Graph Representations via Probability of Necessity and Sufficiency AAAI 2026

SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification AAAI 2026

Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026

GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs AAAI 2026

AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation AAAI 2026

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026

Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time AAAI 2026

Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026

CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction AAAI 2026

TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data AAAI 2026

Deformable Polygonal Flow Matching with Informed Priors and Hierarchical Graph Constraints AAAI 2026

Aggregate-Combine-Readout GNNs Can Express Logical Classifiers Beyond the Logic C2 AAAI 2026

A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling AAAI 2026

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling AAAI 2026

Posterior Label Smoothing for Node Classification AAAI 2026

Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries AAAI 2026

Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration AAAI 2026

Multi-View Differential Mixing and Graph-Guided Structural Region Selection for Cross-Modal Alignment AAAI 2026

HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026