graph classification

Generalizing Downsampling from Regular Data to Graphs AAAI 2023 Generated Graph Detection ICML 2023 Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023 Going beyond persistent homology using persistent homology NeurIPS 2023 Graph Alignment Kernels using Weisfeiler and Leman Hierarchies AISTATS 2023 Graph classification Gaussian processes via spectral features UAI 2023 Graph Contrastive Learning with Group Whitening ACML 2023 Graph Mixup with Soft Alignments ICML 2023 Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract) AAAI 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Graph Positional Encoding via Random Feature Propagation ICML 2023 GSLB: The Graph Structure Learning Benchmark NeurIPS 2023 Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature ACML 2023 Improving Graph Neural Networks with Learnable Propagation Operators ICML 2023 Interpolating Graph Pair to Regularize Graph Classification AAAI 2023 Interpretable Prototype-based Graph Information Bottleneck NeurIPS 2023 Lovász Principle for Unsupervised Graph Representation Learning NeurIPS 2023 Multi-Scale Subgraph Contrastive Learning IJCAI 2023 Multi-View Robust Graph Representation Learning for Graph Classification IJCAI 2023 Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023 Random Walk Conformer: Learning Graph Representation from Long and Short Range AAAI 2023 Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023 SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning ICML 2023 Structure-aware robustness certificates for graph classification UAI 2023 Topological Pooling on Graphs AAAI 2023