CurryTang / Graph-LLM
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
☆282Updated 2 weeks ago
Alternatives and similar repositories for Graph-LLM:
Users that are interested in Graph-LLM are comparing it to the libraries listed below
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆220Updated 9 months ago
- ☆171Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆207Updated 10 months ago
- Papers about large graph models.☆277Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆74Updated last year
- [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"☆294Updated last week
- Awesome Papers About Performing Prompting On Graphs☆374Updated last month
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆152Updated 5 months ago
- Benchmark☆94Updated 11 months ago
- ☆125Updated 2 years ago
- Must-read papers on graph foundation models (GFMs)☆299Updated last week
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆99Updated 6 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆189Updated 2 months ago
- GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks☆96Updated 6 months ago
- Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)☆121Updated 7 months ago
- Accompanied repositories for our paper Graph foundation model☆192Updated 4 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆55Updated 4 months ago
- GraphLLM: Boosting Graph Reasoning Ability of Large Language Model☆105Updated last year
- ☆57Updated 2 years ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆50Updated 2 months ago
- ☆90Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆31Updated 2 months ago
- Papers about out-of-distribution generalization on graphs.☆166Updated last year
- "GraphEdit: Large Language Models for Graph Structure Learning"☆129Updated 9 months ago
- A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf☆77Updated 7 months ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆228Updated last year
- ☆245Updated last year
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆26Updated 11 months ago
- [KDD'2024] "HiGPT: Heterogenous Graph Language Models"☆122Updated 9 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 5 months ago