{"id":"https://openalex.org/W2970183009","doi":"https://doi.org/10.18653/v1/d19-1345","title":"Text Level Graph Neural Network for Text Classification","display_name":"Text Level Graph Neural Network for Text Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970183009","doi":"https://doi.org/10.18653/v1/d19-1345","mag":"2970183009"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1345","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1345","pdf_url":"https://www.aclweb.org/anthology/D19-1345.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1345.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071443942","display_name":"Lianzhe Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianzhe Huang","raw_affiliation_strings":["MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073156713","display_name":"Dehong Ma","orcid":"https://orcid.org/0000-0003-2215-5356"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehong Ma","raw_affiliation_strings":["MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058353424","display_name":"Sujian Li","orcid":"https://orcid.org/0000-0001-7493-0786"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sujian Li","raw_affiliation_strings":["MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376189","display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0000-0001-9786-7038"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025565222","display_name":"Houfeng Wang","orcid":"https://orcid.org/0000-0001-7130-1589"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houfeng Wang","raw_affiliation_strings":["MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":14.2146,"has_fulltext":true,"cited_by_count":317,"citation_normalized_percentile":{"value":0.99184423,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3442","last_page":"3448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9983999729156494,"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":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.7508167028427124},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.659984290599823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6456589698791504},{"id":"https://openalex.org/keywords/zh\u00e0ng","display_name":"Zh\u00e0ng","score":0.57764732837677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5012321472167969},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43752729892730713},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11424776911735535},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11217519640922546},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.1001996099948883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508167028427124},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.659984290599823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456589698791504},{"id":"https://openalex.org/C2777045944","wikidata":"https://www.wikidata.org/wiki/Q12170198","display_name":"Zh\u00e0ng","level":3,"score":0.57764732837677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5012321472167969},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43752729892730713},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11424776911735535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11217519640922546},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.1001996099948883},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1345","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1345","pdf_url":"https://www.aclweb.org/anthology/D19-1345.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1345","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1345","pdf_url":"https://www.aclweb.org/anthology/D19-1345.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G118205048","display_name":null,"funder_award_id":"2017YFB1002101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G633047379","display_name":"\u9762\u5411\u79d1\u6280\u6587\u732e\u7684\u5f15\u7528\u6458\u8981\u751f\u6210\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61572049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8148101051","display_name":"\u6c49\u8bed\u8ba4\u77e5\u52a0\u5de5\u673a\u5236\u4e0e\u8ba1\u7b97\u6a21\u578b\u7814\u7a76","funder_award_id":"61433015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8356743227","display_name":null,"funder_award_id":"2017YFB1002101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970183009.pdf","grobid_xml":"https://content.openalex.org/works/W2970183009.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1522301498","https://openalex.org/W1662382123","https://openalex.org/W1826790618","https://openalex.org/W1832693441","https://openalex.org/W1980867644","https://openalex.org/W2064675550","https://openalex.org/W2104210067","https://openalex.org/W2116341502","https://openalex.org/W2144415203","https://openalex.org/W2147800946","https://openalex.org/W2154359981","https://openalex.org/W2250539671","https://openalex.org/W2407776548","https://openalex.org/W2552391307","https://openalex.org/W2606780347","https://openalex.org/W2607264901","https://openalex.org/W2672952450","https://openalex.org/W2788667846","https://openalex.org/W2805516822","https://openalex.org/W2905224888","https://openalex.org/W2952915411","https://openalex.org/W2962767366","https://openalex.org/W2962946486","https://openalex.org/W2963153906","https://openalex.org/W2963406064","https://openalex.org/W2963497309","https://openalex.org/W2963626623","https://openalex.org/W2963653811","https://openalex.org/W2963858333","https://openalex.org/W2964113829","https://openalex.org/W2964121744","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W3011667710","https://openalex.org/W4210257598","https://openalex.org/W4294558607","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W2364559953","https://openalex.org/W2375840727","https://openalex.org/W2389678104","https://openalex.org/W2375137083","https://openalex.org/W2380507695","https://openalex.org/W2367687999","https://openalex.org/W2387562377","https://openalex.org/W2384722335","https://openalex.org/W2376544228","https://openalex.org/W3192589309"],"abstract_inverted_index":{"Lianzhe":[0],"Huang,":[1],"Dehong":[2],"Ma,":[3],"Sujian":[4],"Li,":[5],"Xiaodong":[6],"Zhang,":[7],"Houfeng":[8],"Wang.":[9],"Proceedings":[10],"of":[11],"the":[12,23],"2019":[13],"Conference":[14,27],"on":[15,28],"Empirical":[16],"Methods":[17],"in":[18],"Natural":[19,29],"Language":[20,30],"Processing":[21,31],"and":[22],"9th":[24],"International":[25],"Joint":[26],"(EMNLP-IJCNLP).":[32],"2019.":[33]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":61},{"year":2023,"cited_by_count":69},{"year":2022,"cited_by_count":69},{"year":2021,"cited_by_count":46},{"year":2020,"cited_by_count":15}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}