graph kernel

A comprehensive benchmark of graph neural networks, graph kernels, and classical machine learning approaches on rs-fMRI brain graphs MIDL 2026 Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning AAAI 2026 AKBR: Learning Adaptive Kernel-based Representations for Graph Classification IJCAI 2025 DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification IJCAI 2025 Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset AAAI 2025 Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning COLING 2025 Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation ICLR 2025 Deep Hierarchical Graph Alignment Kernels IJCAI 2024 Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks NeurIPS 2024 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024 General Graph Random Features ICLR 2024 Graph Learning for Numeric Planning NeurIPS 2024 MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy ICLR 2024 QBMK: Quantum-based Matching Kernels for Un-attributed Graphs ICML 2024 Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NeurIPS 2024 Bayesian Optimisation of Functions on Graphs NeurIPS 2023 Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels AAAI 2023 Fast Online Node Labeling for Very Large Graphs ICML 2023 Graph Alignment Kernels using Weisfeiler and Leman Hierarchies AISTATS 2023 Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023 Taming graph kernels with random features ICML 2023 A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs ICML 2022 Boosting Graph Structure Learning with Dummy Nodes ICML 2022 Filtration-Enhanced Graph Transformation IJCAI 2022 Graph Filtration Kernels AAAI 2022