conftrace_

graph structure learning

58 papers

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Also known as

GSL

Co-occurring keywords

graph neural network (3962) node classification (482) representation learning (6206) graphical model (864) gaussian graphical model (106) graph convolutional network (658) structure learning (341) unsupervised learning (3264) multivariate time series (139) graph embedding (349)

Papers

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NIPS 2023
GSLB: The Graph Structure Learning Benchmark NIPS 2023
Robust Graph Structure Learning via Multiple Statistical Tests NIPS 2022
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting IJCAI 2022
Discovering Interpretable Data-to-Sequence Generators AAAI 2022
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation NIPS 2022
Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility ACML 2022
Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors CLEAR 2022
Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks IJCAI 2022
Graph Structure Learning with Variational Information Bottleneck AAAI 2022
Boosting Graph Structure Learning with Dummy Nodes ICML 2022
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification NIPS 2022
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints NIPS 2022
Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021
Graph Differentiable Architecture Search with Structure Learning NIPS 2021
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation JMLR 2021
Minimax Estimation of Laplacian Constrained Precision Matrices AISTATS 2021
Learning the piece-wise constant graph structure of a varying Ising model ICML 2020
Spatio-Temporal Graph Structure Learning for Traffic Forecasting AAAI 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings NIPS 2020
Missing Values in Multiple Joint Inference of Gaussian Graphical Models PGM 2020
Learning Quadratic Games on Networks ICML 2020
Learning Unfaithful $K$-separable Gaussian Graphical Models JMLR 2019
Learning Discrete Structures for Graph Neural Networks ICML 2019
Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks PGM 2018