The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.
☆38Oct 16, 2023Updated 2 years ago
Alternatives and similar repositories for GPF
Users that are interested in GPF are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 2 years ago
- A Unified Python Library for Graph Prompting☆584Jun 2, 2026Updated last month
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆169Oct 25, 2024Updated last year
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated 2 years ago
- ☆19Dec 12, 2023Updated 2 years ago
- 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.
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆47Oct 23, 2024Updated last year
- Awesome Papers About Performing Prompting On Graphs☆425May 15, 2025Updated last year
- ☆65Oct 24, 2022Updated 3 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆254May 18, 2024Updated 2 years ago
- ☆27Mar 21, 2024Updated 2 years ago
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆74Jun 10, 2024Updated 2 years ago
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Apr 26, 2022Updated 4 years ago
- ☆34Mar 4, 2024Updated 2 years ago
- ☆16Jan 31, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆14Feb 26, 2024Updated 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
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Nov 6, 2023Updated 2 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- graph neural networks, information theory, AI for Sciences☆23Apr 6, 2022Updated 4 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆40Sep 23, 2022Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆92Nov 21, 2024Updated last year
- The survey on diffusion-based graph genrative methods☆22Dec 30, 2024Updated last year
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆16Jan 27, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆19Jul 5, 2024Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated 2 years ago
- ☆24Aug 9, 2022Updated 3 years ago
- ☆135Apr 3, 2025Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆318Mar 10, 2025Updated last year
- Curriculum Meta-Learning for Next POI Recommendation☆18Sep 6, 2021Updated 4 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- Learning MLPs to replace GNN☆10Jun 3, 2023Updated 3 years ago
- 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.
- ☆18Mar 2, 2026Updated 4 months ago
- A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…☆12Mar 18, 2020Updated 6 years ago
- Accompanied repositories for our paper Graph foundation model☆239Nov 11, 2024Updated last year
- A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.☆656Mar 21, 2025Updated last year
- GraphLLM: Boosting Graph Reasoning Ability of Large Language Model (IEEE Transactions on Big Data)☆130Jan 29, 2026Updated 5 months ago
- ☆15Dec 29, 2022Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago