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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection AAAI 2026

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026

SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems AAAI 2026

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

Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026

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

SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation AAAI 2026

Task-Aware Retrieval Augmentation for Dynamic Recommendation AAAI 2026

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

Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation AAAI 2026

DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification AAAI 2026

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

Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification AAAI 2026

SGAT: Learning Feature Matching with Singularity-enhanced Graph Attention Network AAAI 2026

Graph-Driven Domain Co-Adaptation for Cross-Domain Image Quality Assessment AAAI 2026

Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing AAAI 2026

LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation AAAI 2026

HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition AAAI 2026

DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction AAAI 2026

Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis AAAI 2026

Delving into Dynamic Scene Cue-Consistency for Robust 3D Multi-Object Tracking AAAI 2026

Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network AAAI 2026

Framework GNN-AID: Graph Neural Network Analysis, Interpretation and Defense AAAI 2026

X-MoGen: Unified Motion Generation Across Humans and Animals AAAI 2026

Topology-Aware Vision Transformers for Enhanced Scene Recognition AAAI 2026