AndrewZhou924 / Awesome-Graph-Prompting
A curated list of resources for graph prompting methods
☆29Updated last year
Alternatives and similar repositories for Awesome-Graph-Prompting:
Users that are interested in Awesome-Graph-Prompting are comparing it to the libraries listed below
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆42Updated 4 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆35Updated 6 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆41Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆20Updated 2 years ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆43Updated last month
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆29Updated last year
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 3 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 10 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- ☆20Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆28Updated 8 months ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆39Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆77Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆21Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆32Updated 10 months ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆22Updated last year
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆19Updated last year
- ☆90Updated last year
- ☆126Updated 3 weeks ago
- A curated list of resources for OOD detection with graph data.☆19Updated last year
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆28Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆30Updated 5 months ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year