{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:26:09Z","timestamp":1742991969361,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819756179"},{"type":"electronic","value":"9789819756186"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5618-6_17","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:04:18Z","timestamp":1722528258000},"page":"199-211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["HEAMWalk: Heterogeneous Network Embedding Based on Attribute Combined Multi-view Random Walks"],"prefix":"10.1007","author":[{"given":"Xiangtao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shurui","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linghan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinguo","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Chen, M., Huang, C., Xia, L., Wei, W., Xu, Y., Luo, R.: Heterogeneous graph contrastive learning for recommendation. In: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, pp. 544\u2013552 (2023)","DOI":"10.1145\/3539597.3570484"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Wang, X., Bo, D., Shi, C., Fan, S., Ye, Y., Philip, S.Y.: A survey on heterogeneous graph embedding: methods, techniques, applications and sources. IEEE Trans. Big Data (2022)","DOI":"10.1109\/TBDATA.2022.3177455"},{"issue":"8","key":"17_CR3","doi-asserted-by":"publisher","first-page":"8003","DOI":"10.1007\/s10462-022-10375-2","volume":"56","author":"R Bing","year":"2023","unstructured":"Bing, R., Yuan, G., Zhu, M., Meng, F., Ma, H., Qiao, S.: Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications. Artif. Intell. Rev. 56(8), 8003\u20138042 (2023)","journal-title":"Artif. Intell. Rev."},{"issue":"11","key":"17_CR4","doi-asserted-by":"publisher","first-page":"992","DOI":"10.14778\/3402707.3402736","volume":"4","author":"Y Sun","year":"2011","unstructured":"Sun, Y., Han, J., Yan, X., Yu, P.S., Wu, T.: Pathsim: meta path-based top-k similarity search in heterogeneous information networks. Proc. VLDB Endowment 4(11), 992\u20131003 (2011)","journal-title":"Proc. VLDB Endowment"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Jin, D., Huo, C., Liang, C., Yang, L.: Heterogeneous graph neural network via attribute completion. In: Proceedings of the Web Conference 2021, pp. 391\u2013400 (2021)","DOI":"10.1145\/3442381.3449914"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Fu, T.Y., Lee, W.C., Lei, Z.: Hin2vec: explore meta-paths in heterogeneous information networks for representation learning. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1797\u20131806 (2017)","DOI":"10.1145\/3132847.3132953"},{"key":"17_CR7","unstructured":"Shang, J., Qu, M., Liu, J., Kaplan, L.M., Han, J., Peng, J.: Meta-path guided embedding for similarity search in large-scale heterogeneous information networks. arXiv preprint arXiv:1610.09769 (2016)"},{"key":"17_CR8","unstructured":"Zhou, S., Bu, J., Wang, X., Chen, J., Wang, C.: Hahe: Hierarchical attentive heterogeneous information network embedding. arXiv preprint http:\/\/arxiv.org\/abs\/1902.01475 (2019)"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Fu, X., Zhang, J., Meng, Z., King, I.: Magnn: metapath aggregated graph neural network for heterogeneous graph embedding. In: Proceedings of the Web Conference 2020, pp. 2331\u20132341 (2020)","DOI":"10.1145\/3366423.3380297"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"17_CR11","unstructured":"Bandyopadhyay, S., Biswas, A., Kara, H., Murty, M.: A multilayered informative random walk for attributed social network embedding. In: ECAI 2020, pp. 1738\u20131745. IOS Press (2020)"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Wang, X., Zhu, M., Bo, D., Cui, P., Shi, C., Pei, J.: Am-GCN: adaptive multi-channel graph convolutional networks. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1243\u20131253 (2020)","DOI":"10.1145\/3394486.3403177"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Dong, Y., Chawla, N.V., Swami, A.: metapath2vec: scalable representation learning for heterogeneous networks. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 135\u2013144 (2017)","DOI":"10.1145\/3097983.3098036"},{"issue":"2","key":"17_CR14","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1109\/TKDE.2018.2833443","volume":"31","author":"C Shi","year":"2018","unstructured":"Shi, C., Hu, B., Zhao, W.X., Philip, S.Y.: Heterogeneous information network embedding for recommendation. IEEE Trans. Knowl. Data Eng. 31(2), 357\u2013370 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"17_CR15","unstructured":"Wang, X., Lu, Y., Shi, C., Wang, R., Cui, P., Mou, S.: Dynamic heterogeneous information network embedding with meta-path based proximity. IEEE Trans. Knowl. Data Eng. (2020)"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Hao, Y., Wang, X., Wang, X., Wang, X., Chen, C., Song, M.: Walking with attention: self-guided walking for heterogeneous graph embedding. IEEE Trans. Knowl. Data Eng. (2021)","DOI":"10.1109\/TKDE.2021.3069983"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, Y., et al.: Your style your identity: leveraging writing and photography styles for drug trafficker identification in darknet markets over attributed heterogeneous information network. In: The World Wide Web Conference, pp. 3448\u20133454 (2019)","DOI":"10.1145\/3308558.3313537"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: Heterogeneous graph attention network. In: The World Wide Web Conference, pp. 2022\u20132032 (2019)","DOI":"10.1145\/3308558.3313562"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5618-6_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:15:10Z","timestamp":1722528910000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5618-6_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756179","9789819756186"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5618-6_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}