CurryTang / LLMGNNLinks
Label-free Node Classification on Graphs with Large Language Models (LLMS)
☆84Updated last year
Alternatives and similar repositories for LLMGNN
Users that are interested in LLMGNN are comparing it to the libraries listed below
Sorting:
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- Benchmark☆104Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆33Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆228Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆41Updated 10 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆242Updated 5 months ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆132Updated last year
- ☆183Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆64Updated 10 months ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆59Updated 8 months ago
- ☆129Updated 5 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆33Updated last year
- ☆60Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆61Updated 2 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆33Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆304Updated 6 months ago
- ☆25Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated last year
- ☆40Updated 9 months ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 8 months ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- ☆20Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆34Updated 7 months ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆46Updated 2 months ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆50Updated 3 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- ☆24Updated 11 months ago