☆92Oct 23, 2023Updated 3 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
- Must-read papers on graph foundation models (GFMs)☆377Aug 24, 2025Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆259May 18, 2024Updated 2 years ago
- ☆193Mar 25, 2024Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Graph generative pre-trained transformer☆22Jun 3, 2025Updated last year
- Papers about graph transformers.☆932Mar 19, 2025Updated last year
- List of papers on NeurIPS2023☆89Nov 15, 2023Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆87Sep 27, 2023Updated 3 years ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆11Mar 12, 2024Updated 2 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆190Updated this week
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆14Sep 3, 2026Updated 2 months ago
- A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)☆1,000Mar 2, 2025Updated last year
- Awesome Papers About Performing Prompting On Graphs☆426May 15, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 5 years ago
- Official code for "Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach" (NeurIPS 2024).☆13Dec 28, 2024Updated last year
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆238Nov 16, 2024Updated last year
- Generative Pre-trained Graph Eulerian Transformer [ICML2025]☆108Apr 7, 2026Updated 6 months ago
- Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.☆17Aug 17, 2024Updated 2 years ago
- A curated list of resources for graph prompting methods☆30Jan 23, 2024Updated 2 years ago
- A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.☆656Mar 21, 2025Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆52Dec 21, 2024Updated last year
- [NeurIPS 2025] Official PyTorch implementation of NeurIPS'25 paper ''Semi-supervised Graph Anomaly Detection via Robust Homophily Learn…☆22May 23, 2026Updated 5 months ago
- 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.
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆216Dec 31, 2024Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆44Mar 2, 2023Updated 3 years ago
- A Unified Python Library for Graph Prompting☆586Jun 2, 2026Updated 5 months 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
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆65Oct 23, 2022Updated 4 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 5 years ago
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆11Jul 13, 2024Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆67Jun 23, 2023Updated 3 years ago
- Testing github connection on vscode update☆17Jun 1, 2026Updated 5 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆114Nov 14, 2021Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 7 years ago
- Implementation of the KDD'24 paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"☆31Nov 21, 2025Updated 11 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Mar 4, 2024Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 4 years ago
- ☆25Sep 22, 2024Updated 2 years ago
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆39Mar 11, 2024Updated 2 years ago