This repository provides the official PyTorch implementation of STARLINE, as introduced in the following paper:

STARLINE: Contrastive Learning with Modality-Aware Graph Refinement for Effective Multimedia Recommendation
Taeri Kim, Sohee Ban, Hyunjoon Kim, and Sang-Wook Kim In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25)

The code has been tested running under Python 3.6.13. The required packages are as follows:

• gensim==3.8.3
• pytorch==1.10.2+cu113
• sentence_transformers=2.2.0
• pandas
• numpy
• scipy
• tqdm

Baby, Beauty, and Toys & Games: Download 5-core reviews data, meta data, and image features from Amazon product dataset. Put data into the directory data/{folder}/meta-data/.

Men Clothing and Women Clothing: Download Amazon product dataset provided by MAML. Put data folder into the directory data/.

Run python build_data.py --name={Dataset}

The structure of this code is largely based on MONET. Thank for their work.