Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth

17 February 2022

Papers citing "Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth"

6 / 6 papers shown

Title
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs Amitoz Azad Yuan Fang 45 1 0 01 Jul 2024
Choosing the parameter of the Fermat distance: navigating geometry and noise Frédéric Chazal Laure Ferraris Pablo Groisman Matthieu Jonckheere Frédéric Pascal F. Sapienza OT 18 0 0 30 Nov 2023
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels Adrien Weihs Matthew Thorpe 8 2 0 14 Mar 2023
Models for information propagation on graphs Oliver R. A. Dunbar C. M. Elliott L. Kreusser 15 2 0 19 Jan 2022
Eikonal depth: an optimal control approach to statistical depths M. Molina-Fructuoso Ryan W. Murray MDE 26 4 0 14 Jan 2022
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 148 96 0 10 Jan 2021