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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning AAAI 2026

Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning AAAI 2026

ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution AAAI 2026

HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association AAAI 2026

From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026

CLUHCS:Dual-View Contrastive Learning Enabled Unsupervised Heterogeneous Community Search with Meta-Path Behavior Modeling AAAI 2026

Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026

Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment AAAI 2026

Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026

From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy AAAI 2026

Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts AAAI 2026

Graph Neural Field with Spatial-Correlation Augmentation for HRTF Personalization AAAI 2026

ViTE: Virtual Graph Trajectory Expert Router for Pedestrian Trajectory Prediction AAAI 2026

SAMGTD: Spatial-Aware Masked Graph Transformer-Diffusion Model for Enhanced Cell Type Deconvolution in Spatial Transcriptomics AAAI 2026

GraphOracle: Efficient Fully-Inductive Knowledge Graph Reasoning via Relation-Dependency Graphs AAAI 2026

Spiking Heterogeneous Graph Attention Networks AAAI 2026

Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency AAAI 2026

Generating In-Distribution Counterfactual Explanation for Graph Neural Networks AAAI 2026

Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency AAAI 2026

Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs AAAI 2026

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026

Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore AAAI 2026

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026

Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering AAAI 2026

Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026