{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T17:51:54Z","timestamp":1774979514726,"version":"3.50.1"},"reference-count":5,"publisher":"Association for Computing Machinery (ACM)","issue":"Winter","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGWEB Newsl."],"published-print":{"date-parts":[[2026,1,1]]},"abstract":"<jats:p>Tao Tang is a Research Fellow at Zhejiang University of Technology. He was a Research Associate at University of South Australia. He received his PhD in Information Technology from Federation University Australia, under the supervision of Prof. Adil Bagirov, Dr. Giles Oatley, Dr. Muhammad Imran, and Prof. Shirui Pan. His research interests include graph learning, big data analytics, recommender systems, and computational intelligence.<\/jats:p>","DOI":"10.1145\/3801080.3801083","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T16:58:18Z","timestamp":1774976298000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Data-Efficient Graph Learning for Responsible AI Systems"],"prefix":"10.1145","volume":"2026","author":[{"given":"Tao","family":"Tang","sequence":"first","affiliation":[{"name":"Zhejiang University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,3,31]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3572988"},{"key":"e_1_2_1_2_1","unstructured":"Tang T. 2024. Data-efficient Graph Learning for Responsible Prediction and Recommendation. Ph.D. thesis Federation University Australia Ballarat Australia."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3370297"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2024.3415730"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3694682"}],"container-title":["ACM SIGWEB Newsletter"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3801080.3801083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T16:58:18Z","timestamp":1774976298000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3801080.3801083"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,1]]},"references-count":5,"journal-issue":{"issue":"Winter","published-print":{"date-parts":[[2026,1,1]]}},"alternative-id":["10.1145\/3801080.3801083"],"URL":"https:\/\/doi.org\/10.1145\/3801080.3801083","relation":{},"ISSN":["1931-1745","1931-1435"],"issn-type":[{"value":"1931-1745","type":"print"},{"value":"1931-1435","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,1]]},"assertion":[{"value":"2026-03-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}