graph distance

Challenges of Generating Structurally Diverse Graphs NeurIPS 2024 Transfer Learning for Latent Variable Network Models NeurIPS 2024 Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees AAAI 2023 Graphon based Clustering and Testing of Networks: Algorithms and Theory ICLR 2022 Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth JMLR 2022 Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate NeurIPS 2022 An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality ICLR 2020 Graph Random Neural Features for Distance-Preserving Graph Representations ICML 2020 Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks CVPR 2020 Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward NeurIPS 2020 Making Fast Graph-based Algorithms with Graph Metric Embeddings ACL 2019 Robustness of Spectral Methods for Community Detection COLT 2019 From random walks to distances on unweighted graphs NeurIPS 2015 Getting lost in space: Large sample analysis of the resistance distance NeurIPS 2010