[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
☆177Feb 25, 2026Updated last week
Alternatives and similar repositories for awesome-graph-reduction
Users that are interested in awesome-graph-reduction are comparing it to the libraries listed below
Sorting:
- Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.☆51Jul 1, 2025Updated 8 months ago
- [NeurIPS 2025] A Python library for graph reduction including condensation, coarsening, and sparsification.☆30Nov 21, 2025Updated 3 months ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆141Oct 10, 2025Updated 4 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Dec 21, 2024Updated last year
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆26Jun 23, 2024Updated last year
- Accompanied repositories for our paper Graph foundation model☆232Nov 11, 2024Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆64Jun 23, 2023Updated 2 years ago
- Official codebase for paper Disentangled Condensation for Graphs (DisCo). This codebase is based on the open-source Pytorch Geometric fra…☆11Feb 12, 2025Updated last year
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆39Sep 23, 2023Updated 2 years ago
- Awesome Papers About Performing Prompting On Graphs☆422May 15, 2025Updated 9 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Nov 1, 2023Updated 2 years ago
- ☆20Apr 10, 2025Updated 10 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Oct 16, 2023Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year
- Paper list on GNNs + Differential Equations (ODE, PDE, SDE)☆58Feb 26, 2026Updated last week
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆11Apr 17, 2025Updated 10 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆213Dec 31, 2024Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Jun 11, 2024Updated last year
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- ☆91Oct 23, 2023Updated 2 years ago
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Jun 5, 2024Updated last year
- Must-read papers on graph foundation models (GFMs)☆361Aug 24, 2025Updated 6 months ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Oct 6, 2023Updated 2 years ago
- ☆13Jun 18, 2025Updated 8 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆73Oct 28, 2024Updated last year
- Papers about explainability of GNNs☆789Jan 1, 2026Updated 2 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆246May 18, 2024Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Mar 12, 2024Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆96May 29, 2025Updated 9 months ago
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆318Mar 10, 2025Updated 11 months ago
- A curated list of graph data augmentation papers.☆311Apr 17, 2024Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,713Feb 2, 2024Updated 2 years ago
- ☆59Nov 15, 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
- ☆16Dec 21, 2023Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆92Nov 24, 2023Updated 2 years ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆51Mar 5, 2024Updated 2 years ago