yanliang3612 / ReVarLinks
[NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition" .
☆12Updated 2 months ago
Alternatives and similar repositories for ReVar
Users that are interested in ReVar are comparing it to the libraries listed below
Sorting:
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆32Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Updated 3 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated 2 years ago
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆43Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆94Updated 7 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆15Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- ☆58Updated last year
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆27Updated last year
- ☆16Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated last year
- code for kdd feasibiiity☆12Updated 2 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆46Updated 3 years ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆37Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Updated 2 years ago
- ☆12Updated 3 years ago
- A curated list of papers on graph transfer learning (GTL).☆18Updated 2 years ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Updated 2 years ago
- Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models☆13Updated 4 months ago