CenGCN: Centralized Convolutional Networks with Vertex Imbalance for
Scale-Free Graphs

CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs

16 February 2022

Irwin King

Papers citing "CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs"

11 / 11 papers shown

Title
Fairness in Graph Learning Augmented with Machine Learning: A Survey Renqiang Luo Ziqi Xu X. Zhang Qing Qing Huafei Huang Enyan Dai Z. Wang Bo Yang FaML 52 0 0 30 Apr 2025
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks Yuang Jia Xiaojuan Shan Jun-Xiong Xia Guancheng Wan Y. Zhang Wenke Huang Mang Ye Stan Z. Li 45 0 0 01 Apr 2025
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing Jiawen Qin Pengfeng Huang Qingyun Sun Cheng Ji Xingcheng Fu Jianxin Li 31 0 0 23 Dec 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 34 9 0 13 Jul 2024
Deep Outdated Fact Detection in Knowledge Graphs Huiling Tu Shuo Yu Vidya Saikrishna Feng Xia Karin Verspoor 18 9 0 06 Feb 2024
Balanced Graph Structure Information for Brain Disease Detection F. Febrinanto Mujie Liu Feng Xia 26 3 0 30 Dec 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
Coupled Attention Networks for Multivariate Time Series Anomaly Detection Feng Xia Xin Chen Shuo Yu Mingliang Hou Mujie Liu Linlin You AI4TS 19 15 0 12 Jun 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 26 0 0 24 Mar 2023
Physics-Informed Graph Learning Ciyuan Peng Feng Xia Vidya Saikrishna Huan Liu PINN AI4CE 29 6 0 22 Feb 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016