Semi-Supervised Graph Imbalanced Regression

20 May 2023

Papers citing "Semi-Supervised Graph Imbalanced Regression"

8 / 8 papers shown

Title
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm Zhiding Liang Gang Liu Zheyuan Liu Jinglei Cheng Tianyi Hao ... Hang Ren Zhixin Song Ji Liu Fanny Ye Yiyu Shi AI4CE 24 4 0 05 Mar 2024
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective Yihong Ma Xiaobao Huang B. Nan Nuno Moniz Xiangliang Zhang Olaf Wiest Nitesh V. Chawla 13 4 0 06 Feb 2024
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 25 141 0 11 Apr 2023
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu C. Miao Xiansheng Hua Hanwang Zhang 22 17 0 29 Jun 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 222 0 30 Jan 2022
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 159 1,766 0 02 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,214 0 09 Jun 2011