{"id":"https://openalex.org/W3195085629","doi":"https://doi.org/10.1145/3447548.3470820","title":"Deep Learning on Graphs for Natural Language Processing","display_name":"Deep Learning on Graphs for Natural Language Processing","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3195085629","doi":"https://doi.org/10.1145/3447548.3470820","mag":"3195085629"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3470820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3470820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011825081","display_name":"Lingfei Wu","orcid":"https://orcid.org/0000-0002-3660-651X"},"institutions":[{"id":"https://openalex.org/I4210086253","display_name":"Silicon Valley Community Foundation","ror":"https://ror.org/001ader08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210086253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lingfei Wu","raw_affiliation_strings":["JD.COM Silicon Valley Research Center, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"JD.COM Silicon Valley Research Center, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210086253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402071","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0002-8118-7262"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Facebook AI, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075033889","display_name":"Heng Ji","orcid":"https://orcid.org/0000-0002-0464-7966"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Ji","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100691219","display_name":"Bang Liu","orcid":"https://orcid.org/0000-0002-2272-6852"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bang Liu","raw_affiliation_strings":["University of Montreal, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"University of Montreal, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011825081"],"corresponding_institution_ids":["https://openalex.org/I4210086253"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7265737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4084","last_page":"4085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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":0.9993000030517578,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9959999918937683,"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":0.7194411754608154},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.684333860874176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6394744515419006},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47484520077705383},{"id":"https://openalex.org/keywords/expressive-power","display_name":"Expressive power","score":0.4261972904205322},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42218518257141113},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4020770788192749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194411754608154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.684333860874176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6394744515419006},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47484520077705383},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.4261972904205322},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42218518257141113},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4020770788192749}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3470820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3470820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2602856279","https://openalex.org/W2624431344","https://openalex.org/W3035229828","https://openalex.org/W3106124812","https://openalex.org/W6600002382"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2989698750","https://openalex.org/W2008857988","https://openalex.org/W2962711740","https://openalex.org/W4283800705","https://openalex.org/W2995969420","https://openalex.org/W3166042273","https://openalex.org/W4221157984","https://openalex.org/W2807994977","https://openalex.org/W3204410986"],"abstract_inverted_index":{"There":[0],"are":[1],"a":[2,39],"rich":[3],"variety":[4],"of":[5],"NLP":[6,46,62],"problems":[7],"that":[8],"can":[9],"be":[10],"best":[11],"expressed":[12],"with":[13],"graph":[14,70,72],"structures.":[15],"Due":[16],"to":[17,42],"the":[18,55],"great":[19,52],"power":[20],"in":[21],"modeling":[22],"non-Euclidean":[23],"data":[24,82],"like":[25],"graphs,":[26,77],"deep":[27,57],"learning":[28,58,74,78],"on":[29,59],"graphs":[30,60],"techniques":[31],"(i.e.,":[32],"Graph":[33],"Neural":[34],"Networks":[35],"(GNNs))":[36],"have":[37,49],"opened":[38],"new":[40],"door":[41],"solving":[43],"challenging":[44],"graph-related":[45],"problems,":[47],"and":[48],"already":[50],"achieved":[51],"success.":[53],"Despite":[54],"success,":[56],"for":[61,75],"(DLG4NLP)":[63],"still":[64],"faces":[65],"many":[66],"challenges":[67],"(e.g.,":[68],"automatic":[69],"construction,":[71],"representation":[73],"complex":[76,81],"mapping":[79],"between":[80],"structures).":[83]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
