Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
☆40May 7, 2025Updated 10 months ago
Alternatives and similar repositories for Pretext
Users that are interested in Pretext are comparing it to the libraries listed below
Sorting:
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated 2 years ago
- Benchmark☆115Apr 9, 2024Updated last year
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 4 years ago
- ☆11May 14, 2023Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆74Sep 11, 2024Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Dec 21, 2024Updated last year
- Accompanied repositories for our paper Graph foundation model☆232Nov 11, 2024Updated last year
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Jan 27, 2024Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆57Jan 8, 2024Updated 2 years ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- Awesome Papers About Performing Prompting On Graphs☆422May 15, 2025Updated 10 months ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- Code for Online Graph Dictionary Learning☆18Mar 1, 2022Updated 4 years ago
- [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"☆368Mar 15, 2025Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- ☆11Feb 22, 2023Updated 3 years ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆267Apr 14, 2025Updated 11 months ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆68Dec 30, 2024Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆177Feb 25, 2026Updated 3 weeks ago
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆13Dec 8, 2023Updated 2 years ago
- Code for paper: Overlapping Community Detection via Nonnegative Matrix Factorization☆11Apr 16, 2014Updated 11 years ago
- A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.☆652Mar 21, 2025Updated last year
- ☆189Mar 25, 2024Updated last year
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Jun 16, 2020Updated 5 years ago
- ☆24Sep 24, 2024Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Nov 2, 2023Updated 2 years ago
- Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.☆52Jul 1, 2025Updated 8 months ago
- ☆33Mar 4, 2024Updated 2 years ago
- ☆15Jun 18, 2025Updated 9 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- ☆12Apr 2, 2025Updated 11 months ago
- Github repository of the AIStats 2024 paper: DE-HNN: An effective neural model for Circuit Netlist representation☆15Sep 3, 2025Updated 6 months ago
- Must-read papers on graph foundation models (GFMs)☆363Aug 24, 2025Updated 6 months ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆165Oct 25, 2024Updated last year
- ☆51Jan 28, 2023Updated 3 years ago
- Processing of histological data for cytoarchitecture analyses.☆21Feb 20, 2025Updated last year
- A collection of graph contrastive learning methods.☆18Apr 1, 2022Updated 3 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆44Oct 6, 2023Updated 2 years ago