The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval
<|reference_start|>The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval: This paper details an empirical investigation into using Graph Contrastive Learning (GCL) to generate mathematical equation representations, a critical aspect of Mathematical Information Retrieval (MIR). Our findings reveal that this simple approach consistently exceeds the performance of the current leading formula retrieval model, TangentCFT. To support ongoing research and development in this field, we have made our source code accessible to the public at https://github.com/WangPeiSyuan/GCL-Formula-Retrieval/.<|reference_end|>
@article{wang2024the,
    title={The Effectiveness of Graph Contrastive Learning on Mathematical
  Information Retrieval},
    author={Pei-Syuan Wang, Hung-Hsuan Chen},
    journal={arXiv preprint arXiv:2402.13444},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.13444},
    primaryClass={cs.IR}
}