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Most current SBR methods suffer from insufficient interactive information problems and fail to distinguish session representations with high similarities, which can neglect the inherent features within sessions. To fill the gap, we propose a triplet mining enhanced graph neural networks (TME-GNN) approach to enhance the recommendation systems by mining structural and inherent information. Technically, we first generate anchor, positive and negative embeddings based on the given session and set a triplet mining task to improve the recommendation task with subtle features by pushing positive pairs close and pulling negative pairs away. Second, to robust the model, we employ a self-supervised auxiliary task by adding dynamic perturbations to the embedding space. We conduct extensive experiments to demonstrate the superiority of our method against other state-of-the-art algorithms. Our implementations are available on the following site https:\/\/github.com\/Info4Rec\/TME-GNN . <\/jats:p>","DOI":"10.1142\/s021800142350012x","type":"journal-article","created":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T14:27:31Z","timestamp":1677680851000},"source":"Crossref","is-referenced-by-count":0,"title":["Improve Session-Based Recommendation with Triplet Mining and Dynamic Perturbations Graph Neural Networks"],"prefix":"10.1142","volume":"37","author":[{"given":"Jiayi","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Computer Science, Chongqing University, No. 174, Shazhengjie, Shapingba, Chongqing 400044, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Feng","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, No. 174, Shazhengjie, Shapingba, Chongqing 400044, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1874-3641","authenticated-orcid":false,"given":"Mingliang","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, No. 174, Shazhengjie, Shapingba, Chongqing 400044, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiancai","family":"Xiong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial, Spatial Planning Implementation, Ministry of Natural Resources, Chongqing 401147, P.\u00a0R.\u00a0China"},{"name":"Chongqing Institute of Planning and Natural Resources Investigation and Monitoring, Chongqing 401121, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongheng","family":"Wang","sequence":"additional","affiliation":[{"name":"8# of Zhejiang Lab, Yuhang District, Hangzhou 311121, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Xia","sequence":"additional","affiliation":[{"name":"North Information Control Research Academy Group Co., Ltd., Nanjing, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baohua","family":"Qiang","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Mao","sequence":"additional","affiliation":[{"name":"Qiannan Normal Coll Nationalities, Coll Comp & Informat, Doupengshan Rd, Duyun, P.\u00a0R.\u00a0China"},{"name":"Key Laboratory of Complex Systems and Intelligent, Optimization of Guizhou Province, Duyun, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, No. 174, Shazhengjie, Shapingba, Chongqing 400044, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2023,4,14]]},"reference":[{"key":"S021800142350012XBIB001","first-page":"14042","volume-title":"Proc. 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