AndrewZhou924 / Awesome-Graph-PromptingLinks
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
Sorting:
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 10 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated 2 years ago
- ☆99Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆85Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆45Updated 3 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆25Updated 2 years ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆105Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- ☆129Updated 6 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆35Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆40Updated 11 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆34Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆67Updated last year
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 9 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- code for kdd feasibiiity☆12Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆61Updated 2 years ago
- Benchmark☆105Updated last year
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- ☆90Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆134Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆44Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆32Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆52Updated 5 months ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆40Updated 2 years ago
- ☆27Updated 2 years ago
- ☆60Updated 3 years ago
- ☆19Updated 2 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆233Updated last year