{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T14:47:52Z","timestamp":1764859672705,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T00:00:00Z","timestamp":1715731200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,15]]},"DOI":"10.1145\/3674558.3674599","type":"proceedings-article","created":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T12:26:16Z","timestamp":1724675176000},"page":"286-291","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Distinctive Ensemble Approach for Unbiased Movie Recommendations using Variants of Graph Convolution Networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7350-6621","authenticated-orcid":false,"given":"Priyansh","family":"Mathur","sequence":"first","affiliation":[{"name":"CSE, PES University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4470-0311","authenticated-orcid":false,"given":"Arti","family":"Arya","sequence":"additional","affiliation":[{"name":"CSE, PES University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,26]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"\"Graph learning based recommender systems: A review.\" arXiv preprint arXiv:2105.06339","author":"Hu Liang","year":"2021","unstructured":"[1] Wang, Shoujin, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, and Philip S. Yu. \"Graph learning based recommender systems: A review.\" arXiv preprint arXiv:2105.06339 (2021)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-023-04769-0"},{"key":"e_1_3_2_1_3_1","first-page":"187","article-title":"Efficient ensembles of graph neural networks","author":"Stevens Jacob R.","year":"2022","unstructured":"[3] Nagarajan, Amrit, Jacob R. Stevens, and Anand Raghunathan. \"Efficient ensembles of graph neural networks.\" In Proceedings of the 59th ACM\/IEEE Design Automation Conference, pp. 187-192. 2022.","journal-title":"Proceedings of the 59th ACM\/IEEE Design Automation Conference"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"[4] Pfeifer Bastian Hryhorii Chereda Roman Martin Anna Saranti Sandra Clemens Anne-Christin Hauschild Tim Bei\u00dfbarth Andreas Holzinger and Dominik Heider. \"Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.\" bioRxiv (2023): 2023-03.","DOI":"10.1101\/2023.03.22.533772"},{"key":"e_1_3_2_1_5_1","volume-title":"Towards Random Decision Graph Neural Networks.\" arXiv preprint arXiv:2303.11376","author":"Qiao Mu","year":"2023","unstructured":"[5] Wei, Wenqi, Mu Qiao, and Divyesh Jadav. \"GNN-Ensemble: Towards Random Decision Graph Neural Networks.\" arXiv preprint arXiv:2303.11376 (2023)."},{"key":"e_1_3_2_1_6_1","first-page":"300","volume-title":"2022 IEEE International Conference on Big Data and Smart Computing (BigComp)","author":"Han DongHee","year":"2022","unstructured":"[6] Lee, CheonSol, DongHee Han, SeungWoo Choi, KeeJun Han, and MunYong Yi. \"Multi-Relational Stacking Ensemble Recommender System Using Cinematic Experience.\" In 2022 IEEE International Conference on Big Data and Smart Computing (BigComp), pp. 300-303. IEEE, 2022."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2184319.2184343"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12183926"},{"key":"e_1_3_2_1_9_1","first-page":"639","article-title":"Lightgcn: Simplifying and powering graph convolution network for recommendation","author":"Deng Kuan","year":"2020","unstructured":"[9] He, Xiangnan, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. \"Lightgcn: Simplifying and powering graph convolution network for recommendation.\" In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, pp. 639-648. 2020.","journal-title":"Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval"},{"key":"e_1_3_2_1_10_1","first-page":"1253","article-title":"UltraGCN: ultra simplification of graph convolutional networks for recommendation","author":"Zhu Jieming","year":"2021","unstructured":"[10] Mao, Kelong, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, and Xiuqiang He. \"UltraGCN: ultra simplification of graph convolutional networks for recommendation.\" In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 1253-1262. 2021.","journal-title":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management"},{"key":"e_1_3_2_1_11_1","volume-title":"an efficient and unified benchmark for GNN-based recommendation.\" arXiv preprint arXiv:2111.10342","author":"Hu Jun","year":"2021","unstructured":"[11] Cai, Desheng, Jun Hu, Quan Zhao, Shengsheng Qian, Quan Fang, and Changsheng Xu. \"Grecx: an efficient and unified benchmark for GNN-based recommendation.\" arXiv preprint arXiv:2111.10342 (2021)."},{"key":"e_1_3_2_1_12_1","volume-title":"PMLR","author":"Wang Liwei","year":"2013","unstructured":"[12]Wang, Yining, Liwei Wang, Yuanzhi Li, Di He, and Tie-Yan Liu. \"A theoretical analysis of NDCG type ranking measures.\" In Conference on learning theory, pp. 25-54. PMLR, 2013."},{"key":"e_1_3_2_1_13_1","volume-title":"\"Graph learning approaches to recommender systems: A review.\" arXiv preprint arXiv:2004.11718","author":"Hu Liang","year":"2020","unstructured":"[13] Wang, Shoujin, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet Orgun, Longbing Cao, Nan Wang, Francesco Ricci, and Philip S. Yu. \"Graph learning approaches to recommender systems: A review.\" arXiv preprint arXiv:2004.11718 (2020)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.100.4.1358"}],"event":{"name":"ICCTA 2024: 2024 10th International Conference on Computer Technology Applications","acronym":"ICCTA 2024","location":"Vienna Austria"},"container-title":["Proceedings of the 2024 10th International Conference on Computer Technology Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674558.3674599","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3674558.3674599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T23:41:48Z","timestamp":1755906108000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674558.3674599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,15]]},"references-count":14,"alternative-id":["10.1145\/3674558.3674599","10.1145\/3674558"],"URL":"https:\/\/doi.org\/10.1145\/3674558.3674599","relation":{},"subject":[],"published":{"date-parts":[[2024,5,15]]},"assertion":[{"value":"2024-08-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}