graph structure learning

Learning Adaptive Neighborhoods for Graph Neural Networks ICCV 2023 Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NeurIPS 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Spatio-Temporal Meta-Graph Learning for Traffic Forecasting AAAI 2023 AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints NeurIPS 2022 Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility ACML 2022 Boosting Graph Structure Learning with Dummy Nodes ICML 2022 Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors CLeaR 2022 Contrastive Graph Structure Learning via Information Bottleneck for Recommendation NeurIPS 2022 Discovering Interpretable Data-to-Sequence Generators AAAI 2022 Graph Structure Learning with Variational Information Bottleneck AAAI 2022 Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks IJCAI 2022 NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification NeurIPS 2022 Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting IJCAI 2022 Robust Graph Structure Learning via Multiple Statistical Tests NeurIPS 2022 Graph Differentiable Architecture Search with Structure Learning NeurIPS 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021 Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation JMLR 2021 Minimax Estimation of Laplacian Constrained Precision Matrices AISTATS 2021 Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings NeurIPS 2020 Learning Quadratic Games on Networks ICML 2020 Learning the piece-wise constant graph structure of a varying Ising model ICML 2020 Missing Values in Multiple Joint Inference of Gaussian Graphical Models PGM 2020 Spatio-Temporal Graph Structure Learning for Traffic Forecasting AAAI 2020