{"id":"https://openalex.org/W3134886264","doi":"https://doi.org/10.1145/3437963.3441673","title":"Graph Mining with Graph Neural Networks","display_name":"Graph Mining with Graph Neural Networks","publication_year":2021,"publication_date":"2021-03-06","ids":{"openalex":"https://openalex.org/W3134886264","doi":"https://doi.org/10.1145/3437963.3441673","mag":"3134886264"},"language":"en","primary_location":{"id":"doi:10.1145/3437963.3441673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437963.3441673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and 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/A5100758371","display_name":"Wei Jin","orcid":"https://orcid.org/0000-0002-5054-954X"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Jin","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100758371"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.56,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71970124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1119","last_page":"1120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9886000156402588,"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":0.7389535903930664},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5702722072601318},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5147519111633301},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49834680557250977},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4691568613052368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4516531229019165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42018967866897583},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36246174573898315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389535903930664},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5702722072601318},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5147519111633301},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49834680557250977},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4691568613052368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4516531229019165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42018967866897583},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36246174573898315},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3437963.3441673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437963.3441673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7863013290","display_name":null,"funder_award_id":"CNS1815636, IIS1928278, IIS1714741, IIS1845081, IIS1907704, IIS1955285","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2101491865","https://openalex.org/W2468907370","https://openalex.org/W2606780347","https://openalex.org/W2624431344","https://openalex.org/W2788512147","https://openalex.org/W2807021761","https://openalex.org/W2913939497","https://openalex.org/W2945796017","https://openalex.org/W2963858333","https://openalex.org/W2964583308","https://openalex.org/W2966149470","https://openalex.org/W3012562343","https://openalex.org/W3100848837","https://openalex.org/W3114928288"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Graphs":[0],"are":[1],"ubiquitous":[2],"data":[3,118],"structures":[4],"in":[5,53,104,145],"various":[6,146],"fields,":[7],"such":[8,148],"as":[9,149],"social":[10],"media,":[11],"transportation,":[12],"linguistics":[13],"and":[14,98,129],"chemistry.":[15],"To":[16],"solve":[17],"downstream":[18],"graph-related":[19,54],"tasks,":[20],"it":[21],"is":[22,139,162],"of":[23,45,82,93,132],"great":[24],"significance":[25],"to":[26,35,41,89,111,122,140,170],"learn":[27],"effective":[28],"representations":[29],"for":[30,65,115],"graphs.":[31],"My":[32],"research":[33,72,154,166],"strives":[34],"help":[36,123],"meet":[37],"this":[38],"demand;":[39],"due":[40],"the":[42,75,91,171],"huge":[43],"success":[44],"deep":[46],"learning":[47,103],"methods,":[48],"especially":[49],"graph":[50,66,83,105,133,142],"neural":[51,84,106,134,143],"networks,":[52,85,107,135],"problems,":[55],"my":[56,71,137,165],"emphasis":[57],"has":[58],"primarily":[59],"been":[60],"on":[61,164],"improving":[62],"their":[63,113],"power":[64],"representation":[67],"learning.":[68],"More":[69],"specifically,":[70],"spans":[73],"across":[74],"following":[76],"three":[77,173],"main":[78],"areas:":[79],"(1)":[80],"robustness":[81],"where":[86,108,136],"we":[87,109],"seek":[88],"study":[90],"performance":[92],"them":[94,124],"under":[95],"random":[96],"noise":[97],"carefully-crafted":[99],"attacks;":[100],"(2)":[101],"self-supervised":[102],"aim":[110],"alleviate":[112],"need":[114],"costly":[116],"annotated":[117],"by":[119],"constructing":[120],"self-supervision":[121],"fully":[125],"exploit":[126],"unlabeled":[127],"data;":[128],"(3)":[130],"applications":[131,147],"work":[138],"apply":[141],"networks":[144],"traffic":[150],"flow":[151],"prediction.":[152],"This":[153],"statement,":[155],"'Graph":[156],"Mining":[157],"with":[158],"Graph":[159],"Neural":[160],"Networks',":[161],"focused":[163],"endeavors":[167],"specifically":[168],"related":[169],"aforementioned":[172],"topics.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}