Class-Imbalanced Graph Learning without Class Rebalancing

27 August 2023

Papers citing "Class-Imbalanced Graph Learning without Class Rebalancing"

8 / 8 papers shown

Title
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 24 0 0 04 May 2025
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark Ruizhong Qiu Weiliang Will Zeng Hanghang Tong James Ezick Christopher Lott 84 15 0 20 Feb 2025
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization Ruizhong Qiu Hanghang Tong 32 3 0 27 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 27 8 0 19 May 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 26 18 0 24 Mar 2024
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 79 183 0 26 Feb 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 102 130 0 24 Oct 2020
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 130 194 0 20 Oct 2020