yanliang3612 / ReVar
[NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition" .
☆11Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for ReVar
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆27Updated 7 months ago
- LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆16Updated this week
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆35Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆24Updated 4 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆20Updated 3 months ago
- code for kdd feasibiiity☆9Updated last year
- PyGDA is a Python library for Graph Domain Adaptation☆17Updated 2 months ago
- A collection of papers on Graph Structural Learning (GSL)☆50Updated 10 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆30Updated 4 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆31Updated last year
- ☆11Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Updated last year
- ☆44Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆20Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆46Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 7 months ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆15Updated last year
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆9Updated 7 months ago
- ☆49Updated last year
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆84Updated 2 months ago
- ☆10Updated 10 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆22Updated this week
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year