graph classification

Learning Invariant Graph Representations for Out-of-Distribution Generalization NeurIPS 2022 Lifelong Graph Learning CVPR 2022 MGNNI: Multiscale Graph Neural Networks with Implicit Layers NeurIPS 2022 Optimization-Induced Graph Implicit Nonlinear Diffusion ICML 2022 Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022 Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022 SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks NeurIPS 2022 SpeqNets: Sparsity-aware permutation-equivariant graph networks ICML 2022 Structural Entropy Guided Graph Hierarchical Pooling ICML 2022 Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification AAAI 2022 Template based Graph Neural Network with Optimal Transport Distances NeurIPS 2022 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022 The Infinite Contextual Graph Markov Model ICML 2022 Topological Graph Neural Networks ICLR 2022 Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited NeurIPS 2022 Accurate Learning of Graph Representations with Graph Multiset Pooling ICLR 2021 Adversarial Attacks on Graph Classifiers via Bayesian Optimisation NeurIPS 2021 A Hyperbolic-to-Hyperbolic Graph Convolutional Network CVPR 2021 An Aligned Subgraph Kernel Based on Discrete-Time Quantum Walk ACML 2021 AutoGEL: An Automated Graph Neural Network with Explicit Link Information NeurIPS 2021 Classifying Dyads for Militarized Conflict Analysis EMNLP 2021 Contrastive Self-supervised Learning for Graph Classification AAAI 2021 CuCo: Graph Representation with Curriculum Contrastive Learning IJCAI 2021 Deep Wasserstein Graph Discriminant Learning for Graph Classification AAAI 2021 Federated Graph Classification over Non-IID Graphs NeurIPS 2021