{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T12:53:44Z","timestamp":1753275224421,"version":"3.37.3"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100010877","name":"Shenzhen Science and Technology Innovation Commission","doi-asserted-by":"publisher","award":["JCYJ20210324135011030,WDZC20200818121348001"],"award-info":[{"award-number":["JCYJ20210324135011030,WDZC20200818121348001"]}],"id":[{"id":"10.13039\/501100010877","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71971127"],"award-info":[{"award-number":["71971127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892698","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["Learning Fine-grained Location Embedding from Human Mobility with Graph Neural Networks"],"prefix":"10.1109","author":[{"given":"Chenyu","family":"Tian","sequence":"first","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tencent Inc,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zefeng","family":"Weng","sequence":"additional","affiliation":[{"name":"Tencent Inc,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiusen","family":"Gu","sequence":"additional","affiliation":[{"name":"Tencent Inc,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wai Kin","family":"Chan","sequence":"additional","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3347146.3359067"},{"key":"ref11","article-title":"Multi-scale representation learning for spatial feature distributions using grid cells","author":"mai","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/545"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10500"},{"key":"ref14","first-page":"1188","article-title":"Exploring the context of locations for personalized location recommendations","author":"liu","year":"0","journal-title":"IJCAI"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622444"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133006"},{"key":"ref17","article-title":"Learning fine grained place embeddings with spatial hierarchy from human mobility trajectories","author":"shimizu","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref18","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2013","journal-title":"ArXiv Preprint"},{"journal-title":"Chebnet Efficient and stable constructions of deep neural networks with rectified power units using chebyshev approximations","year":"2019","author":"tang","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133056"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3139958.3140054"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/itr2.12044"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/458"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186058"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00062"},{"journal-title":"node2vec Scalable feature learning for networks","year":"2016","author":"grover","key":"ref2"},{"key":"ref1","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/234"},{"key":"ref20","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/611"},{"key":"ref21","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","volume":"26","author":"mikolov","year":"2013","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892698.pdf?arnumber=9892698","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:00:45Z","timestamp":1667516445000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892698\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892698","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}