graph classification

Perception-Inspired Graph Convolution for Music Understanding Tasks IJCAI 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework NeurIPS 2024 Rank and Align: Towards Effective Source-free Graph Domain Adaptation IJCAI 2024 Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection ICLR 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs IJCAI 2024 Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NeurIPS 2024 Tensor-view Topological Graph Neural Network AISTATS 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 TREE-G: Decision Trees Contesting Graph Neural Networks AAAI 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 A Differential Geometric View and Explainability of GNN on Evolving Graphs ICLR 2023 Agent-based Graph Neural Networks ICLR 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 All in a Row: Compressed Convolution Networks for Graphs ICML 2023 Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning NeurIPS 2023 Automated Data Augmentations for Graph Classification ICLR 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023 CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification ICML 2023 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023 Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation ICLR 2023 Deepfake Video Detection via Facial Action Dependencies Estimation AAAI 2023 Deep Graph Reprogramming CVPR 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications NeurIPS 2023