{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T10:14:24Z","timestamp":1771064064426,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,8]]},"DOI":"10.1145\/3701716.3715450","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T14:10:32Z","timestamp":1750687832000},"page":"903-906","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["LLM-powered Heterogeneous Information Network Analytics"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1887-6630","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"first","affiliation":[{"name":"BIFOLD &amp; TU Berlin, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7625-0650","authenticated-orcid":false,"given":"Lun","family":"Du","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5041-0532","authenticated-orcid":false,"given":"Xu","family":"Chen","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6757-3055","authenticated-orcid":false,"given":"Xiaojun","family":"Ma","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7402-7482","authenticated-orcid":false,"given":"Jiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Normal University, Beijing, China and Swarma Research, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.422"},{"key":"e_1_3_2_1_2_1","volume-title":"Tigergraph: A native MPP graph database. arXiv preprint arXiv:1901.08248","author":"Deutsch Alin","year":"2019","unstructured":"Alin Deutsch, Yu Xu, Mingxi Wu, and Victor Lee. 2019. Tigergraph: A native MPP graph database. arXiv preprint arXiv:1901.08248 (2019)."},{"key":"e_1_3_2_1_3_1","volume-title":"Heterogeneous information network and its application to human health and disease. Briefings in bioinformatics","author":"Ding Pingjian","year":"2020","unstructured":"Pingjian Ding, Wenjue Ouyang, Jiawei Luo, and Chee-Keong Kwoh. 2020. Heterogeneous information network and its application to human health and disease. Briefings in bioinformatics, Vol. 21, 4 (2020), 1327--1346."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3542623"},{"key":"e_1_3_2_1_5_1","volume-title":"Massive Graph Analytics","author":"Hodler Amy E","unstructured":"Amy E Hodler and Mark Needham. 2022. Graph data science using Neo4j. In Massive Graph Analytics. Chapman and Hall\/CRC, 433--457."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020603"},{"key":"e_1_3_2_1_7_1","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis Patrick","year":"2020","unstructured":"Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich K\u00fcttler, Mike Lewis, Wen-tau Yih, Tim Rockt\u00e4schel, et al. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems, Vol. 33 (2020), 9459--9474.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.187"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29823"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"e_1_3_2_1_11_1","volume-title":"Mining heterogeneous information networks: a structural analysis approach. ACM SIGKDD explorations newsletter","author":"Sun Yizhou","year":"2013","unstructured":"Yizhou Sun and Jiawei Han. 2013. Mining heterogeneous information networks: a structural analysis approach. ACM SIGKDD explorations newsletter, Vol. 14, 2 (2013), 20--28."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.14778\/3402707.3402736"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1516360.1516426"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2384716.2384777"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3715450","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T18:23:49Z","timestamp":1759861429000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715450"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":14,"alternative-id":["10.1145\/3701716.3715450","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3715450","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}