Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications

28 June 2023

Papers citing "Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications"

8 / 8 papers shown

Title
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation Xinyu Ma Xu Chu Zhibang Yang Yang Lin Xin Gao Junfeng Zhao 46 7 0 05 Apr 2024
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data Jiajin Li Jianheng Tang Lemin Kong Huikang Liu Jia Li Anthony Man-Cho So Jose H. Blanchet 36 11 0 12 Mar 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 49 20 0 31 May 2022
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 35 23 0 06 Oct 2021
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 34 44 0 12 Feb 2021
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 202 1,778 0 02 Mar 2017