graph neural network

When do GFlowNets learn the right distribution? ICLR 2025 When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach ICLR 2025 When Graph Neural Networks Meet Dynamic Mode Decomposition ICLR 2025 When narrower is better: the narrow width limit of Bayesian parallel branching neural networks ICLR 2025 When Will the Tokens End? Graph-Based Forecasting for LLMs Output Length ACL 2025 When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025 Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? AAAI 2025 Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling AAAI 2025 Zero-Shot Generalization of GNNs over Distinct Attribute Domains ICML 2025 D^2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning ICLR 2024 NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes NeurIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs NeurIPS 2024 Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks ICLR 2024 A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation IJCAI 2024 A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction AAAI 2024 Active Learning Framework for Incomplete Networks UAI 2024 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection AAAI 2024 AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs AAAI 2024 AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation RSS 2024 Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering AAAI 2024 A Decade of Scholarly Research on Open Knowledge Graphs COLING 2024 A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification IJCAI 2024 Advancing Saliency Ranking with Human Fixations: Dataset Models and Benchmarks CVPR 2024 Adversarial Attacks on Fairness of Graph Neural Networks ICLR 2024 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening NeurIPS 2024