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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

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

Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation AAAI 2026

High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks AAAI 2026

Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction AAAI 2026

HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters AAAI 2026

CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness AAAI 2026

Attribute-guided Dynamic Prompt Learning for Graph Neural Networks AAAI 2026

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

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

Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm AAAI 2026

Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling AAAI 2026

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

Surrogate as Teacher: Distillation-Guided Graph Poisoning Attack AAAI 2026

Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit AAAI 2026

Graph-Conditional Flow Matching for Relational Data Generation AAAI 2026

MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation AAAI 2026