{"id":"https://openalex.org/W2772021946","doi":"https://doi.org/10.1145/3159652.3159666","title":"SHINE","display_name":"SHINE","publication_year":2018,"publication_date":"2018-02-02","ids":{"openalex":"https://openalex.org/W2772021946","doi":"https://doi.org/10.1145/3159652.3159666","mag":"2772021946"},"language":"en","primary_location":{"id":"doi:10.1145/3159652.3159666","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3159652.3159666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.00732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hongwei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Wang","raw_affiliation_strings":["Shanghai Jiao Tong University & Microsoft Research Asia, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University & Microsoft Research Asia, Shanghai, China","institution_ids":["https://openalex.org/I4210113369","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fuzheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzheng Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Hou","raw_affiliation_strings":["University of Science and Technology of China & Microsoft Research Asia, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China & Microsoft Research Asia, Hefei, China","institution_ids":["https://openalex.org/I4210113369","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xing Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xie","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Minyi Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minyi Guo","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":26.7369,"has_fulltext":false,"cited_by_count":308,"citation_normalized_percentile":{"value":0.99583819,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"592","last_page":"600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7354000210762024},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5958999991416931},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5199999809265137},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49399998784065247},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4830000102519989},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4668999910354614},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.43070000410079956},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.42500001192092896}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7354000210762024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303000092506409},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5958999991416931},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4830000102519989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4797999858856201},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4668999910354614},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36160001158714294},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29760000109672546},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28060001134872437},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3159652.3159666","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3159652.3159666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1712.00732","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.00732","pdf_url":"https://arxiv.org/pdf/1712.00732","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1712.00732","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.00732","pdf_url":"https://arxiv.org/pdf/1712.00732","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5840383603","display_name":null,"funder_award_id":"2015CB352403","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1985854669","https://openalex.org/W2010187764","https://openalex.org/W2062797058","https://openalex.org/W2073415627","https://openalex.org/W2094286023","https://openalex.org/W2100026763","https://openalex.org/W2101409529","https://openalex.org/W2144780381","https://openalex.org/W2154851992","https://openalex.org/W2155328222","https://openalex.org/W2251792193","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2402969480","https://openalex.org/W2509893387","https://openalex.org/W2583803680","https://openalex.org/W2605234117","https://openalex.org/W2605246672","https://openalex.org/W2622849676","https://openalex.org/W2767441885","https://openalex.org/W2913932916","https://openalex.org/W2962756421","https://openalex.org/W2964140784","https://openalex.org/W2998508934"],"related_works":[],"abstract_inverted_index":{"In":[0],"online":[1],"social":[2,76,114,129],"networks":[3,161],"people":[4],"often":[5],"express":[6],"attitudes":[7],"towards":[8],"others,":[9],"which":[10,62,123],"forms":[11],"massive":[12],"sentiment":[13,21,44,95,110,121,127,136,168],"links":[14,22,96,111],"among":[15],"users.":[16],"Predicting":[17],"the":[18,52,55,63,98,106,164,186,191,213],"sign":[19,165],"of":[20,54,61,72,100,108,125,166,193,215],"is":[23],"a":[24,118,142,180],"fundamental":[25],"task":[26],"in":[27,85,97,112,204,217],"many":[28],"areas":[29],"such":[30,74],"as":[31,75],"personal":[32],"advertising":[33],"and":[34,78,131,144,162,201],"public":[35],"opinion":[36],"analysis.":[37],"Previous":[38],"works":[39],"mainly":[40],"focus":[41],"on":[42,198],"textual":[43],"classification,":[45],"however,":[46],"text":[47],"information":[48,73],"can":[49],"only":[50],"disclose":[51],"\"tip":[53],"iceberg\u00bb\u00bb":[56],"about":[57],"users\u00bb":[58,79,126,156],"true":[59],"opinions,":[60],"most":[64],"are":[65],"unobserved":[66,167],"but":[67],"implied":[68],"by":[69,134],"other":[70],"sources":[71],"relation":[77,130],"profile.":[80],"To":[81],"address":[82],"this":[83,86],"problem,":[84],"paper":[87],"we":[88,116,140],"investigate":[89],"how":[90],"to":[91,105,154,175],"predict":[92,163],"possibly":[93],"existing":[94],"presence":[99],"heterogeneous":[101,120,160],"information.":[102],"First,":[103],"due":[104],"lack":[107],"explicit":[109],"mainstream":[113],"networks,":[115],"establish":[117],"labeled":[119],"dataset":[122],"consists":[124],"relation,":[128],"profile":[132],"knowledge":[133],"entity-level":[135],"extraction":[137],"method.":[138],"Then":[139],"propose":[141],"novel":[143],"flexible":[145],"end-to-end":[146],"Signed":[147],"Heterogeneous":[148],"Information":[149],"Network":[150],"Embedding":[151],"(SHINE)":[152],"framework":[153],"extract":[155],"latent":[157],"representations":[158],"from":[159],"links.":[169],"SHINE":[170,194,216],"utilizes":[171],"multiple":[172],"deep":[173],"autoencoders":[174],"map":[176],"each":[177],"user":[178],"into":[179],"low-dimension":[181],"feature":[182],"space":[183],"while":[184],"preserving":[185],"network":[187],"structure.":[188],"We":[189],"demonstrate":[190],"superiority":[192],"over":[195],"state-of-the-art":[196],"baselines":[197],"link":[199],"prediction":[200],"node":[202],"recommendation":[203],"two":[205],"real-world":[206],"datasets.":[207],"The":[208],"experimental":[209],"results":[210],"also":[211],"prove":[212],"efficacy":[214],"cold":[218],"start":[219],"scenario.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":59},{"year":2021,"cited_by_count":55},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":46},{"year":2018,"cited_by_count":13}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2017-12-22T00:00:00"}