Graph Neural Networks

Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024 Graph Metanetworks for Processing Diverse Neural Architectures ICLR 2024 GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts NeurIPS 2024 GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs NeurIPS 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 Graph Neural Network Explanations are Fragile ICML 2024 Graph Neural Networks and Arithmetic Circuits NeurIPS 2024 Graph neural networks and non-commuting operators NeurIPS 2024 Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 Graph Neural Networks for Brain Graph Learning: A Survey IJCAI 2024 Graph Neural Networks for End-to-End Information Extraction From Handwritten Documents WACV 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Graph Neural Networks Need Cluster-Normalize-Activate Modules NeurIPS 2024 Graph Neural Networks Use Graphs When They Shouldn’t ICML 2024 Graph Neural Networks with a Distribution of Parametrized Graphs ICML 2024 Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing ACML 2024 Graph Neural Networks with Soft Association between Topology and Attribute AAAI 2024 Graph Neural PDE Solvers with Conservation and Similarity-Equivariance ICML 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping ICML 2024 Graph Parsing Networks ICLR 2024 Graph Positional and Structural Encoder ICML 2024 GraphPulse: Topological representations for temporal graph property prediction ICLR 2024 Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NeurIPS 2024 GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules NeurIPS 2024