The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval

被引：0

作者：

Wang, Pei-Syuan ^{[1
]}

Chen, Hung-Hsuan ^{[1
]}

机构：

[1] Natl Cent Univ, Taoyuan, Taiwan

来源：

ADVANCES ON GRAPH-BASED APPROACHES IN INFORMATION RETRIEVAL, IRONGRAPHS 2024 | 2025年 / 2197卷

关键词：

Mathematical information retrieval; Graphical contrastive learning; Layout;

D O I：

10.1007/978-3-031-71382-8_5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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/.

引用

页码：60 / 72

页数：13

共 50 条

[31] HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph
Wang, Chenhao
Liu, Yong
Yang, Yan
Lie, Wei
PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024, 2024, : 2397 - 2405
[32] Graph Contrastive Learning with Graph Info-Min
Meng, En
Liu, Yong
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 4195 - 4199
[33] Graph Contrastive Learning with Constrained Graph Data Augmentation
Shaowu Xu
Luo Wang
Xibin Jia
Neural Processing Letters, 2023, 55 : 10705 - 10726
[34] Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Suresh, Susheel
Li, Pan
Hao, Cong
Neville, Jennifer
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
[35] Sparse Graph Transformer With Contrastive Learning
Zhang, Chun-Yang
Fang, Wu-Peng
Cai, Hai-Chun
Chen, C. L. Philip
Lin, Yue-Na
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (01): : 892 - 904
[36] A Good View for Graph Contrastive Learning
Chen, Xueyuan
Li, Shangzhe
ENTROPY, 2024, 26 (03)
[37] Graph Contrastive Learning with Adaptive Augmentation
Zhu, Yanqiao
Xu, Yichen
Yu, Feng
Liu, Qiang
Wu, Shu
Wang, Liang
PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021), 2021, : 2069 - 2080
[38] Certifiably Robust Graph Contrastive Learning
Lin, Minhua
Xiao, Teng
Dai, Enyan
Zhang, Xiang
Wang, Suhang
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
[39] Prototypical Graph Contrastive Learning for Recommendation
Wei, Tao
Yang, Changchun
Zheng, Yanqi
APPLIED SCIENCES-BASEL, 2025, 15 (04):
[40] TopoGCL: Topological Graph Contrastive Learning
Chen, Yuzhou
Frias, Jose
Gel, Yulia R.
THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 10, 2024, : 11453 - 11461

← 1 2 3 4 5 →