Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

22 October 2021

Papers citing "Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification"

9 / 9 papers shown

Title
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 30 11 0 16 Dec 2022
Reconstructing Sparse Multiplex Networks with Application to Covert Networks Jin-Zhu Yu Mincheng Wu Gisela Bichler Felipe Aros-Vera Jianxi Gao 11 1 0 29 Jul 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 25 6 0 10 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu-Chiang Frank Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr 22 80 0 07 Jun 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 218 0 16 Feb 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 25 47 0 01 Dec 2021
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019