"GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23
☆32Mar 11, 2024Updated last year
Alternatives and similar repositories for GraphSHA
Users that are interested in GraphSHA are comparing it to the libraries listed below
Sorting:
- GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)☆83Oct 25, 2023Updated 2 years ago
- TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification☆71Oct 19, 2023Updated 2 years ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆96May 29, 2025Updated 9 months ago
- [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☆27Nov 27, 2024Updated last year
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Oct 1, 2023Updated 2 years ago
- Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification☆17May 31, 2023Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆28Oct 26, 2021Updated 4 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆174Sep 14, 2023Updated 2 years ago
- Tail-GNN: Tail-Node Graph Neural Networks☆34Sep 5, 2021Updated 4 years ago
- Frequency domain (Fast Fourier Transform) and time-frequency (wavelet transform) feature extraction from Electrocardiogram (ECG) data.☆11Apr 30, 2022Updated 3 years ago
- Clustering using Deep Learning (T-SNE visualization of autoencoder embeddings )☆10Mar 3, 2019Updated 7 years ago
- ☆11Jan 23, 2021Updated 5 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Aug 21, 2022Updated 3 years ago
- Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.☆12Jun 18, 2021Updated 4 years ago
- [TKDD 2024] An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification.☆14Mar 6, 2025Updated 11 months ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆56Oct 11, 2021Updated 4 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Feb 24, 2022Updated 4 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆17Mar 4, 2025Updated 11 months ago
- The official source code of the paper "Unsupervised Episode Generation for Graph Meta-learning" (ICML 2024)☆14Jun 25, 2024Updated last year
- [NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition…☆12Oct 25, 2025Updated 4 months ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 2 years ago
- Few Shot Learning on Graphs☆33Feb 15, 2023Updated 3 years ago
- This method is a new oversampling algorithm and can circumvent the deficiency of WK-SMOTE (and SMOTE as well as its variants) caused by r…☆16Oct 26, 2022Updated 3 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Jul 25, 2024Updated last year
- A meta-learning framework for few-shot graph learning