Skip to content

HKBU-LAGAS/Alper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Alper

This repository contains the source code and data in the paper.

Installation

To set up the environment and install the required dependencies, please follow these steps:

# Step 1: Create conda environment
conda create -n Alper -c conda-forge python=3.12

# Step 2: Activate the environment
conda activate Alper

# Step 3: Install dependencies
pip install -r requirements.txt

For detailed installation instructions, please refer to INSTALLATION.txt.

Usage

Running Experiments

Use the provided script to run experiments on multiple datasets:

cd src
bash run_table_experiments.sh

Running Individual Experiments

Run the main script with specific parameters:

python main.py --dataset <dataset_name> --budget <budget> --model gpt-5-mini [options]

Output

Results are saved in the alper_results/ directory with the following format:

  • {dataset_name}_alper_llm_{timestamp}.json - Main results
  • {dataset_name}_alper_{timestamp}_llm_logs.json - Detailed LLM logs

About

KDD'26 paper titled "Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution"

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors