TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification

26 June 2022

Papers citing "TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification"

35 / 35 papers shown

Title
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao D. Wang Hongrui Liu Zhiqiang Zhang Jun Zhou Jeffrey Xu Yu SSL 90 0 0 10 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 47 0 0 02 Feb 2025
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 116 13 0 16 Nov 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification Bishal Thapaliya Anh Nguyen Yao Lu Tian Xie Igor Grudetskyi Fudong Lin Antonios Valkanas Jingyu Liu Deepayan Chakraborty Bilel Fehri 21 1 0 15 Oct 2024
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering Jianpeng Chen Yawen Ling Yazhou Ren Zichen Wen Tianyi Wu Shufei Zhang Lifang He 14 0 0 04 Oct 2024
Federated Graph Learning with Structure Proxy Alignment Xingbo Fu Zihan Chen Binchi Zhang Chen Chen Jundong Li FedML 36 6 0 18 Aug 2024
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization Xin Sun Liang Wang Qiang Liu Shu Wu Zilei Wang Liang Wang OOD CML 31 5 0 08 Aug 2024
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 16 7 0 16 Jul 2024
Edge Classification on Graphs: New Directions in Topological Imbalance Xueqi Cheng Yu Wang Yunchao Liu Yuying Zhao Charu C. Aggarwal Tyler Derr 38 1 0 17 Jun 2024
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Weihuang Zheng Jiashuo Liu Jiaxing Li Jiayun Wu Peng Cui Youyong Kong OOD 35 0 0 03 Jun 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 27 3 0 22 May 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 34 36 0 07 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 36 2 0 04 Mar 2024
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes Qian Wang Zemin Liu Zhen Zhang Bingsheng He 22 0 0 20 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 13 1 0 15 Feb 2024
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 16 0 0 08 Dec 2023
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification Yulan Hu Ouyang Sheng Zhirui Yang Yong Liu 17 0 0 02 Nov 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 23 9 0 28 Oct 2023
Heterophily-Based Graph Neural Network for Imbalanced Classification Zirui Liang Yuntao Li Tianjin Huang A. Saxena Yulong Pei Mykola Pechenizkiy 27 0 0 12 Oct 2023
Class-Imbalanced Graph Learning without Class Rebalancing Zhining Liu Ruizhong Qiu Zhichen Zeng Hyunsik Yoo David Zhou Zhe Xu Yada Zhu Kommy Weldemariam Jingrui He Hanghang Tong AI4CE 12 8 0 27 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 11 12 0 26 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 13 15 0 04 Aug 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 22 23 0 16 Jun 2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification Xingcheng Fu Yuecen Wei Qingyun Sun Haonan Yuan Jia Wu Hao Peng Jianxin Li AI4CE 14 22 0 11 Apr 2023
Class-Imbalanced Learning on Graphs: A Survey Yihong Ma Yijun Tian Nuno Moniz Nitesh V. Chawla 25 18 0 09 Apr 2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification Liang Yan Shengzhong Zhang Bisheng Li Min Zhou Zengfeng Huang 16 4 0 18 Mar 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks Xin Gao Wentao Zhang Tong Chen Junliang Yu Hung Quoc Viet Nguyen Hongzhi Yin 25 10 0 27 Feb 2023
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection S. Shi Kai Qiao Jie Yang Baojie Song Jian Chen Binghai Yan 8 14 0 14 Feb 2023
Using Active Learning Methods to Strategically Select Essays for Automated Scoring Tahereh Firoozi Hamid Reza Mohammadi Mark J. Gierl 22 7 0 02 Jan 2023
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 157 541 0 21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 237 455 0 11 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 240 765 0 05 Dec 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 0 28 Sep 2019
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 154 25,150 0 09 Jun 2011