node classification

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective NeurIPS 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited NeurIPS 2022 What Does My GNN Really Capture? On Exploring Internal GNN Representations IJCAI 2022 What Makes Graph Neural Networks Miscalibrated? NeurIPS 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs ICLR 2022 You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks ICLR 2022 A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ICML 2021 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models ICLR 2021 Adaptive Data Augmentation on Temporal Graphs NeurIPS 2021 Adaptive Edge Attention for Graph Matching with Outliers IJCAI 2021 Adaptive Universal Generalized PageRank Graph Neural Network ICLR 2021 A Hyperbolic-to-Hyperbolic Graph Convolutional Network CVPR 2021 AutoAttend: Automated Attention Representation Search ICML 2021 AutoGEL: An Automated Graph Neural Network with Explicit Link Information NeurIPS 2021 Class-Attentive Diffusion Network for Semi-Supervised Classification AAAI 2021 Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks ICLR 2021 Combining Label Propagation and Simple Models out-performs Graph Neural Networks ICLR 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Data Augmentation for Graph Neural Networks AAAI 2021 Decoupling the Depth and Scope of Graph Neural Networks NeurIPS 2021 Detection and Defense of Topological Adversarial Attacks on Graphs AISTATS 2021 Edge: Enriching Knowledge Graph Embeddings with External Text NAACL 2021 EIGNN: Efficient Infinite-Depth Graph Neural Networks NeurIPS 2021 Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning IJCAI 2021