Xtra-Computing / Awesome-Literature-ILoGsLinks
Awesome literature on imbalanced learning on graphs
☆75Updated 10 months ago
Alternatives and similar repositories for Awesome-Literature-ILoGs
Users that are interested in Awesome-Literature-ILoGs are comparing it to the libraries listed below
Sorting:
- ☆38Updated 3 years ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆91Updated last month
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 7 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆144Updated 4 months ago
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆39Updated 5 months ago
- Papers about out-of-distribution generalization on graphs.☆165Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆34Updated 2 months ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 6 months ago
- NeurIPS 2022 - SHGP☆31Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 7 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- ☆60Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- The source code of SpCo☆34Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆44Updated 2 weeks ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆127Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆45Updated last year
- Deep Graph Outlier Detection☆67Updated last year
- ☆20Updated 3 months ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- ☆178Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆33Updated last year
- ☆47Updated 2 years ago
- The implementation for DropMessage.☆37Updated 2 years ago