Graph Neural Networks

Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach ACL 2023 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First NeurIPS 2023 Curvature Filtrations for Graph Generative Model Evaluation NeurIPS 2023 CUTS: Neural Causal Discovery from Irregular Time-Series Data ICLR 2023 Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation ICLR 2023 D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching ICML 2023 D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion NeurIPS 2023 DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks ICLR 2023 Data Imputation with Iterative Graph Reconstruction AAAI 2023 DBGDGM: Dynamic Brain Graph Deep Generative Model MIDL 2023 DBGSL: Dynamic Brain Graph Structure Learning MIDL 2023 DCPB: Deformable Convolution Based on the Poincare Ball for Top-view Fisheye Cameras ICCV 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NeurIPS 2023 Deep Ensembles for Graphs with Higher-order Dependencies ICLR 2023 Deepfake Video Detection via Facial Action Dependencies Estimation AAAI 2023 Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems NeurIPS 2023 Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration CVPR 2023 Deep Graph Representation Learning and Optimization for Influence Maximization ICML 2023 Deep Graph Reprogramming CVPR 2023 Deep Graph Structural Infomax AAAI 2023 Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023 Degree-based stratification of nodes in Graph Neural Networks ACML 2023 Demystifying Oversmoothing in Attention-Based Graph Neural Networks NeurIPS 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023