"GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23

Code for KDD'24 Paper: A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs

This repository contains the reference code for the manuscript ``On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective"

[NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition" .

CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

This repository contains the resources on graph neural network (GNN) considering heterophily.

[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

[TKDD 2024] An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification.

The official source code for "S-Mixup: Structural Mixup for Graph Neural Networks", accepted at CIKM 2023 (Short Paper).

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Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Awesome literature on imbalanced learning on graphs

A repository contains a collection of resources and papers on Imbalance Learning On Graphs

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

😎 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

[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类

GraphAny: A foundation model for node classification on any graph.

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

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

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

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification