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Knowl. Discov. Data"],"published-print":{"date-parts":[[2024,2,29]]},"abstract":"<jats:p>\n            The rapid development of heterogeneous networks has proposed new challenges to the long-standing link prediction problem. Existing models trained on the verified edge samples from different types usually learn type-specific knowledge, and their type-specific predictions may be contradictory for unverified edge samples with uncertain types. This challenge is termed edge-type disturbance in link prediction in heterogeneous networks. To address this challenge, we develop a disturbance-resilient prediction method (\n            <jats:italic>DRPM<\/jats:italic>\n            ) comprising a structural characterizer, a type differentiator, and a resilient predictor. The structural characterizer is responsible for learning edge representations for link prediction. Concurrently, the type differentiator distinguishes type-specific edge representations to generate diverse type experts while maximizing their link prediction performances on specific types. Furthermore, the resilient predictor evaluates the reliability weights of different type experts to develop a resilient prediction mechanism to aggregate discriminable predictions. Extensive experiments conducted on various real-world datasets demonstrate the importance of the explainable introduction of the edge-type disturbance and the superiority of\n            <jats:italic>DRPM<\/jats:italic>\n            over state-of-the-art methods.\n          <\/jats:p>","DOI":"10.1145\/3614099","type":"journal-article","created":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T12:34:27Z","timestamp":1691411667000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3162-2350","authenticated-orcid":false,"given":"Huan","family":"Wang","sequence":"first","affiliation":[{"name":"University of Macau, State Key Laboratory of Internet of Things for Smart City, Huazhong Agricultural University, College of Informatics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8750-3919","authenticated-orcid":false,"given":"Ruigang","family":"Liu","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University, College of Informatics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5249-7803","authenticated-orcid":false,"given":"Chuanqi","family":"Shi","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University, College of Informatics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1139-8654","authenticated-orcid":false,"given":"Junyang","family":"Chen","sequence":"additional","affiliation":[{"name":"Shenzhen University, College of Computer Science and Software Engineering"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3624-371X","authenticated-orcid":false,"given":"Lei","family":"Fang","sequence":"additional","affiliation":[{"name":"University of St Andrews, School of Computer Science"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8946-8918","authenticated-orcid":false,"given":"Shun","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Macau, Department of Electrical and Computer Engineering"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4588-890X","authenticated-orcid":false,"given":"Zhiguo","family":"Gong","sequence":"additional","affiliation":[{"name":"University of Macau, State Key Laboratory of Internet of Things for Smart City, Macao Guangdong-Macau Joint Laboratory for Advanced and Intelligent Computing"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,11,13]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3434749"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3457906"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2022.03.041"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3149328"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2021.103217"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-020-00837-4"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-150762"},{"issue":"2","key":"e_1_3_1_9_2","article-title":"Time-invariant degree growth in preferential attachment network models","volume":"101","author":"Sun J.","year":"2020","unstructured":"J. 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