Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph
Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 |
On a linear fused Gromov-Wasserstein distance for graph structured dataPattern Recognition (Pattern Recogn.), 2022 |
Weisfeiler-Lehman meets Gromov-WassersteinInternational Conference on Machine Learning (ICML), 2022 |
Towards understanding the power of quantum kernels in the NISQ eraQuantum (Quantum), 2021 |
An Overview of Distance and Similarity Functions for Structured DataArtificial Intelligence Review (AI Review), 2020 Santiago Ontañón |
Supervised Learning with Similarity FunctionsNeural Information Processing Systems (NeurIPS), 2012 |