WxxShirley/LLMNodeBed
[ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
This project offers a standardized way to compare how well different large language model (LLM) approaches classify 'nodes' within network data. It takes in various network datasets and outputs a performance evaluation for 8 different LLM-based algorithms, helping researchers or data scientists understand which methods are most effective for their specific graph-structured data classification tasks.
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Use this if you are a researcher or data scientist evaluating or developing new LLM-based methods for classifying items in a network, such as categorizing documents based on citation networks or users in social graphs.
Not ideal if you need a plug-and-play solution for general text classification or if you are not working with graph-structured data and LLMs for classification.
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Python
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Jul 01, 2025
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