Graph Neural Networks

AutoSew: A Geometric Approach to Stitching Prediction with Graph Neural Networks WACV 2026 BAG: Benchmarking Anomaly Detection on Dynamic Graphs AAAI 2026 BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning AAAI 2026 Behavioral-Similarity and Clustering-Based Methods for Static Graph Estimation in Hybrid GNNs (Student Abstract) AAAI 2026 Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily AAAI 2026 Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026 Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026 Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes CVPR 2026 Beyond Single Transactions: D-EMAML---Dual-Edge Motif Neural Networks for Enhanced Anti-Money Laundering Detection AAAI 2026 Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026 BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation MIDL 2026 BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis AAAI 2026 Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026 BrepVGAE: Variational Graph Autoencoder with Unified Latent Representation for B-rep CVPR 2026 Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech EACL 2026 Bridging Distance and Spectral Positional Encodings via Anchor-Based Diffusion Geometry Approximation ACL 2026 BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks AAAI 2026 Building Instance Segmentation for Dense Urban Settlements AAAI 2026 CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics L4DC 2026 Can Molecular Evolution Mechanism Enhance Molecular Representation? AAAI 2026 Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method AAAI 2026 Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026 CauVQ: Causal Vector Quantization for Graph OOD Generalization AAAI 2026 CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness AAAI 2026 CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation CVPR 2026