☆92Oct 23, 2023Updated 2 years ago
Alternatives and similar repositories for Towards-graph-foundation-models
Users that are interested in Towards-graph-foundation-models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Accompanied repositories for our paper Graph foundation model☆238Nov 11, 2024Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆254May 18, 2024Updated 2 years ago
- Must-read papers on graph foundation models (GFMs)☆377Aug 24, 2025Updated 10 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 2 years ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Papers about graph transformers.☆932Mar 19, 2025Updated last year
- ☆192Mar 25, 2024Updated 2 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆187Feb 25, 2026Updated 4 months ago
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆14Feb 8, 2025Updated last year
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 5 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆85Sep 27, 2023Updated 2 years ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆237Nov 16, 2024Updated last year
- A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)☆997Mar 2, 2025Updated last year
- A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.☆655Mar 21, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Awesome Papers About Performing Prompting On Graphs☆426May 15, 2025Updated last year
- List of papers on NeurIPS2023☆90Nov 15, 2023Updated 2 years ago
- A generative one-for-all model for joint graph language modeling☆53Jan 21, 2026Updated 5 months ago
- Implementation of the KDD'24 paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"☆31Nov 21, 2025Updated 7 months ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆65Oct 23, 2022Updated 3 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 7 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆22Jun 4, 2025Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆38Aug 8, 2024Updated 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.
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 4 years ago
- A Unified Python Library for Graph Prompting☆585Jun 2, 2026Updated last month
- Papers about large graph models.☆292Mar 24, 2024Updated 2 years ago
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆11Jul 13, 2024Updated last year
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆19Oct 17, 2023Updated 2 years ago
- Generative Pre-trained Graph Eulerian Transformer [ICML2025]☆107Apr 7, 2026Updated 2 months ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆312Mar 4, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆215Dec 31, 2024Updated last year
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆39Mar 11, 2024Updated 2 years ago
- Lo-Hi: Practical ML Drug Discovery Benchmark paper☆12Nov 13, 2023Updated 2 years ago
- A collection of AWESOME things about Graph-Related LLMs.☆2,442Nov 5, 2025Updated 8 months ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆22Apr 3, 2026Updated 3 months ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆63May 22, 2025Updated last year
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated 2 years ago