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Graph Neural Networks

5,491 papers

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Papers

NN-Former: Rethinking Graph Structure in Neural Architecture Representation CVPR 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025 NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning AAAI 2025 Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising AAAI 2025 Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation AAAI 2025 Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification AAAI 2025 On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation ICLR 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting ICML 2025 One Node One Model: Featuring the Missing-Half for Graph Clustering AAAI 2025 On Explaining Equivariant Graph Networks via Improved Relevance Propagation ICML 2025 Online Laplacian-Based Representation Learning in Reinforcement Learning ICML 2025 On Measuring Long-Range Interactions in Graph Neural Networks ICML 2025 On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems AAAI 2025 On the Completeness of Invariant Geometric Deep Learning Models ICLR 2025 On the Expressive Power of Sparse Geometric MPNNs ICLR 2025 On the Hölder Stability of Multiset and Graph Neural Networks ICLR 2025 On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks ICML 2025 On the Relationship Between Robustness and Expressivity of Graph Neural Networks AISTATS 2025 Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment AAAI 2025 Open-Set Graph Anomaly Detection via Normal Structure Regularisation ICLR 2025 Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction ICML 2025 ORID: Organ-Regional Information Driven Framework for Radiology Report Generation WACV 2025 Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power JMLR 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning IJCAI 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025