graph classification

From Local Structures to Size Generalization in Graph Neural Networks ICML 2021 Graph Adversarial Self-Supervised Learning NeurIPS 2021 Graph Deformer Network IJCAI 2021 GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training ICML 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks AAAI 2021 Hierarchical Graph Capsule Network AAAI 2021 Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021 InfoGCL: Information-Aware Graph Contrastive Learning NeurIPS 2021 Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021 Learning Hyperbolic Representations of Topological Features ICLR 2021 Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters NeurIPS 2021 Learning Parametrised Graph Shift Operators ICLR 2021 Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction NeurIPS 2021 Nested Graph Neural Networks NeurIPS 2021 Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks IJCAI 2021 Quaternion Graph Neural Networks ACML 2021 Representing Long-Range Context for Graph Neural Networks with Global Attention NeurIPS 2021 Size-Invariant Graph Representations for Graph Classification Extrapolations ICML 2021 The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs IJCAI 2021 Towards Multi-Grained Explainability for Graph Neural Networks NeurIPS 2021 Ultrahyperbolic Neural Networks NeurIPS 2021 Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport AAAI 2021 Wasserstein Embedding for Graph Learning ICLR 2021 Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020 A Fair Comparison of Graph Neural Networks for Graph Classification ICLR 2020