Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
☆40May 7, 2025Updated last year
Alternatives and similar repositories for Pretext
Users that are interested in Pretext are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆11Mar 12, 2024Updated 2 years ago
- Benchmark☆119Apr 9, 2024Updated 2 years ago
- ☆11May 14, 2023Updated 3 years ago
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 5 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆52Dec 21, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Awesome literature on imbalanced learning on graphs☆77Sep 11, 2024Updated last year
- The implementation of “Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns”☆11Nov 27, 2024Updated last year
- [NeurIPS 2025] Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs☆16Dec 9, 2025Updated 8 months ago
- Awesome Papers About Performing Prompting On Graphs☆424May 15, 2025Updated last year
- ☆12Jun 20, 2024Updated 2 years ago
- 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
- Accompanied repositories for our paper Graph foundation model☆237Nov 11, 2024Updated last year
- 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)☆59Jan 8, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Papers about large graph models.☆291Mar 24, 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
- Code for Online Graph Dictionary Learning☆18Mar 1, 2022Updated 4 years ago
- A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.☆656Mar 21, 2025Updated last year
- ☆194Mar 25, 2024Updated 2 years ago
- [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"☆371Mar 15, 2025Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- An index of algorithms for few-shot learning/meta-learning on graphs☆160Apr 30, 2025Updated last year
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆159Feb 3, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Must-read papers on graph foundation models (GFMs)☆376Aug 24, 2025Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆271Apr 14, 2025Updated last year
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆74Dec 30, 2024Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆224Jul 10, 2025Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆188Feb 25, 2026Updated 6 months ago
- ☆10Feb 22, 2023Updated 3 years 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
- ☆24Sep 24, 2024Updated last year
- A Survey of Learning from Graphs with Heterophily☆169Feb 28, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- ☆34Mar 4, 2024Updated 2 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆30Mar 11, 2024Updated 2 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Jun 16, 2020Updated 6 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Nov 2, 2023Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 3 years ago
- A curated list of papers on graph transfer learning (GTL).☆19Oct 23, 2023Updated 2 years ago