Showing 1–20 of 248 results
/ Date/ Name
Jan 3, 2019A Comprehensive Survey on Graph Neural NetworksJan 4, 2019Learning Graph Embedding with Adversarial Training MethodsJul 10, 2021Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic FilteringMay 16, 2022Trustworthy Graph Neural Networks: Aspects, Methods and TrendsMay 31, 2019Graph WaveNet for Deep Spatial-Temporal Graph ModelingMay 24, 2020Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural NetworksSep 15, 2020Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised LearningOct 14, 2020Medical Code Assignment with Gated Convolution and Note-Code InteractionAug 25, 2021TraverseNet: Unifying Space and Time in Message Passing for Traffic ForecastingJun 21, 2021iDARTS: Differentiable Architecture Search with Stochastic Implicit GradientsJun 6, 2021Pseudo-Riemannian Graph Convolutional NetworksJan 15, 2022Variance-Reduced Heterogeneous Federated Learning via Stratified Client SelectionJan 19, 2022Dual Space Graph Contrastive LearningJun 3, 2022Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group DiscriminationFeb 10, 2022Survey on Graph Neural Network Acceleration: An Algorithmic PerspectiveJul 3, 2022An Empirical Survey on Long Document Summarization: Datasets, Models and MetricsJul 22, 2019Efficient Novelty-Driven Neural Architecture SearchNov 24, 2020Cyclic Label Propagation for Graph Semi-supervised LearningJan 4, 2023Neighbor Contrastive Learning on Learnable Graph AugmentationNov 26, 2022VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily