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graph regression

5 papers

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Co-occurring keywords · papers mentioning both

graph neural network (3) node classification (2) random walk (2) sliced wasserstein (1) weisfeiler-lehman graph kernel (1) computational physics (1) positive definiteness (1) effective resistance (1) node property prediction (1) graph information bottleneck (1)

Papers

Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024 Non-convolutional graph neural networks. NeurIPS 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Robust Offline Active Learning on Graphs NeurIPS 2024 Affinity-Aware Graph Networks NeurIPS 2023