{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T20:54:28Z","timestamp":1725656068404},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,7]]},"DOI":"10.1109\/asonam49781.2020.9381348","type":"proceedings-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T20:17:37Z","timestamp":1616617057000},"source":"Crossref","is-referenced-by-count":8,"title":["Debiasing Graph Representations via Metadata-Orthogonal Training"],"prefix":"10.1109","author":[{"given":"John","family":"Palowitch","sequence":"first","affiliation":[]},{"given":"Bryan","family":"Perozzi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3389\/neuro.06.004.2008"},{"key":"ref38","article-title":"Rejecting the gender binary: a vector-space operation","author":"schmidt","year":"2015","journal-title":"Ben's Bookworm Blog"},{"key":"ref33","article-title":"Software Framework for Topic Modelling with Large Corpora","author":"?eh??ek","year":"0","journal-title":"LREC"},{"key":"ref32","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","author":"duchi","year":"2011","journal-title":"JMLR"},{"key":"ref31","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"0","journal-title":"USENIX OSDI"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719574"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1097047.1097061"},{"key":"ref35","author":"peixoto","year":"2014","journal-title":"The Graph-tool Python Library"},{"key":"ref34","article-title":"The political blogosphere and the 2004 US election: divided they blog","author":"adamic","year":"0","journal-title":"IWLD"},{"key":"ref10","article-title":"Network representation learning with rich text information","author":"yang","year":"2015","journal-title":"IJCAI"},{"key":"ref40","article-title":"Insights on representational similarity in neural networks with canonical correlation","author":"morcos","year":"0","journal-title":"NeurIPS"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms11863"},{"key":"ref12","article-title":"Revisiting semi-supervised learning with graph embeddings","author":"yang","year":"0","journal-title":"ICML"},{"key":"ref13","article-title":"MixHop: Higher-order graph convolutional architectures via sparsified neighborhood mixing","author":"abu-el-haija","year":"0","journal-title":"ICML"},{"key":"ref14","author":"chen","year":"2018","journal-title":"A tutorial on network embeddings"},{"key":"ref15","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"NeurIPS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313595"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277825"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0072"},{"key":"ref28","article-title":"Equality of opportunity in supervised learning","author":"hardt","year":"0","journal-title":"NeurIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375864"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159706"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3278721.3278779"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.1602548"},{"key":"ref7","author":"post?varu","year":"2020","journal-title":"InstantEmbedding Efficient local node representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403302"},{"key":"ref1","author":"chami","year":"2020","journal-title":"Machine learning on graphs A model and comprehensive taxonomy"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55753-3_11"},{"key":"ref22","article-title":"Compositional fairness constraints for graph embeddings","author":"bose","year":"0","journal-title":"ICML"},{"key":"ref21","article-title":"Enhancing network embedding with auxiliary information","author":"guo","year":"0","journal-title":"DASFAA"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1521"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/456"},{"key":"ref26","article-title":"Man is to computer programmer as woman is to homemaker?","author":"bolukbasi","year":"0","journal-title":"NeurIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1126\/science.aal4230"}],"event":{"name":"2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","location":"The Hague, Netherlands","start":{"date-parts":[[2020,12,7]]},"end":{"date-parts":[[2020,12,10]]}},"container-title":["2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9381192\/9381291\/09381348.pdf?arnumber=9381348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:55:29Z","timestamp":1656345329000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9381348\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,7]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/asonam49781.2020.9381348","relation":{},"subject":[],"published":{"date-parts":[[2020,12,7]]}}}