Graph Neural Networks

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026 Learning and Testing Exposure Mappings of Interference using Graph Convolutional Autoencoders CLeaR 2026 Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling AAAI 2026 Learning Fair Graph Representations via Probability of Necessity and Sufficiency AAAI 2026 Learning Heuristic Functions for HTN Planning AAAI 2026 Learning Heuristic Functions with Graph Neural Networks for Numeric Planning AAAI 2026 Learning Mutual View Information Graph for Adaptive Adversarial Collaborative Perception CVPR 2026 Learning Network Dismantling Without Handcrafted Inputs AAAI 2026 Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition AAAI 2026 Learning Structurally Stabilized Representations for Lossless DNA Storage AAAI 2026 Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation AAAI 2026 Learning to accelerate distributed ADMM using graph neural networks L4DC 2026 Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026 Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA AAAI 2026 Leveraging Sparse Observations to Predict Species Abundance Across Space and Time AAAI 2026 LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation AAAI 2026 Life-IQA: Boosting Blind Image Quality Assessment through GCN-enhanced Layer Interaction and MoE-based Feature Decoupling CVPR 2026 Light but Sharp: SlimSTAD for Real-Time Action Detection from Sensor Data AAAI 2026 LightGazeNet: A Lightweight GNN-based Architecture for Gaze Estimation WACV 2026 Limiting Over-Smoothing and Over-Squashing of Graph Message Passing by Deep Scattering Transforms JMLR 2026 Logical Characterizations of GNNs with Mean Aggregation AAAI 2026 LORETTA: A Low Resource Framework to Poison Continuous Time Dynamic Graphs AAAI 2026 MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation AAAI 2026 Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks AAAI 2026 MAPI-GNN: Multi-Activation Plane Interaction Graph Neural Network for Multimodal Medical Diagnosis AAAI 2026