CurryaNa

CurryaNa's Stars

• Jaeyun-Song/TAM

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

  Language:Python665

• SukwonYun/LTE4G

  The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.

  Language:Python383

• datawhalechina/team-learning-nlp

  主要存储Datawhale组队学习中“自然语言处理”方向的资料。

  Language:Jupyter Notebook887262

• TianxiangZhao/GraphSmote

  Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

  Language:Python15232

• JoonHyung-Park/GraphENS

  GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)

  Language:Python798

• CastalZhou/graphsr

  Language:Python73

• tjhznb666/Predicting-future-customer-credit-risk-based-on-machine-learning-algorithm

  利用python对3000个数据利用机器学习算法建立模型，并预测未来客户信用风险。处理数据不均衡问题时采用了SMOTE过采样以及随机过采样技术；通过相关性分析进行特征选择；建模过程中用到了Logistic回归、SVM、随机森林、GBDT四种模型，并通过网格搜索法确定最优参数；利用准确率、KS值、ROC曲线、AUC值以及lift曲线进行模型评估。

  Language:Python294

• ZhiningLiu1998/awesome-imbalanced-learning

  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

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