{"id":"https://openalex.org/W4406963231","doi":"https://doi.org/10.1145/3711121","title":"Knowledge Distillation on Graphs: A Survey","display_name":"Knowledge Distillation on Graphs: A Survey","publication_year":2025,"publication_date":"2025-01-30","ids":{"openalex":"https://openalex.org/W4406963231","doi":"https://doi.org/10.1145/3711121"},"language":"en","primary_location":{"id":"doi:10.1145/3711121","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711121","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3711121","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057838053","display_name":"Yijun Tian","orcid":"https://orcid.org/0000-0003-2795-6080"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yijun Tian","raw_affiliation_strings":["University of Notre Dame, Notre Dame, United States"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, United States","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034495880","display_name":"Shichao Pei","orcid":"https://orcid.org/0000-0002-0802-1506"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shichao Pei","raw_affiliation_strings":["University of Massachusetts Boston, Boston, United States"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Boston, Boston, United States","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["University of Notre Dame, Notre Dame, United States"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, United States","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022275632","display_name":"Chuxu Zhang","orcid":"https://orcid.org/0000-0002-8349-7926"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuxu Zhang","raw_affiliation_strings":["University of Connecticut, Storrs, United States"],"affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, United States","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068157871","display_name":"Nitesh V. Chawla","orcid":"https://orcid.org/0000-0003-3932-5956"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitesh V. Chawla","raw_affiliation_strings":["University of Notre Dame, Notre Dame, United States"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, United States","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057838053"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":79.667,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.99926668,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"57","issue":"8","first_page":"1","last_page":"16"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9890999794006348,"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":0.9033241271972656},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6393488645553589},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4915495812892914},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41207075119018555},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3701304495334625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35864168405532837},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3431508541107178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9033241271972656},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6393488645553589},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4915495812892914},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41207075119018555},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3701304495334625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35864168405532837},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3431508541107178},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711121","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711121","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3711121","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711121","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2283196293","https://openalex.org/W2602753196","https://openalex.org/W2604314403","https://openalex.org/W2607303097","https://openalex.org/W2739852640","https://openalex.org/W2750779823","https://openalex.org/W2759136286","https://openalex.org/W2907492528","https://openalex.org/W2963140444","https://openalex.org/W2968734407","https://openalex.org/W2996514457","https://openalex.org/W2997128522","https://openalex.org/W3002924435","https://openalex.org/W3015735225","https://openalex.org/W3030204405","https://openalex.org/W3034368386","https://openalex.org/W3123909522","https://openalex.org/W3138154797","https://openalex.org/W3169450514","https://openalex.org/W3185556852","https://openalex.org/W3212385273","https://openalex.org/W4210518262","https://openalex.org/W4224307896","https://openalex.org/W4284691163","https://openalex.org/W4294310652","https://openalex.org/W4365393360","https://openalex.org/W4382317738","https://openalex.org/W4383371430","https://openalex.org/W4389816626","https://openalex.org/W4391737817","https://openalex.org/W4392120722","https://openalex.org/W4396758529","https://openalex.org/W4401913767"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W2344382886","https://openalex.org/W19111321","https://openalex.org/W2412887479","https://openalex.org/W32245304","https://openalex.org/W2953684491","https://openalex.org/W4285338581","https://openalex.org/W2768175398","https://openalex.org/W2015158429","https://openalex.org/W2080290893"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"have":[4],"received":[5],"significant":[6],"attention":[7],"for":[8],"demonstrating":[9],"their":[10],"capability":[11],"to":[12,20,51,72,80,131,135,140],"handle":[13],"graph":[14],"data.":[15],"However,":[16],"they":[17],"are":[18],"difficult":[19],"be":[21],"deployed":[22],"in":[23],"resource-limited":[24],"devices":[25],"because":[26],"of":[27,55,112,121,152],"model":[28,81],"sizes":[29],"and":[30,48,57,83,110,116,137,146,150],"scalability":[31],"constraints":[32],"imposed":[33],"by":[34,123],"the":[35,53,60,108,118,125,148],"multi-hop":[36],"data":[37],"dependency.":[38],"In":[39,96],"addition,":[40],"real-world":[41],"graphs":[42],"usually":[43],"possess":[44],"complex":[45],"structural":[46],"information":[47],"features.":[49],"Therefore,":[50],"improve":[52],"applicability":[54],"GNNs":[56],"fully":[58],"encode":[59],"complicated":[61],"topological":[62],"information,":[63],"Knowledge":[64],"Distillation":[65],"on":[66,160],"Graphs":[67],"(KDG)":[68],"has":[69,88],"been":[70],"introduced":[71],"build":[73],"a":[74],"smaller":[75],"but":[76],"effective":[77],"model,":[78],"leading":[79],"compression":[82],"performance":[84],"improvement.":[85],"Recently,":[86],"KDG":[87,122],"achieved":[89],"considerable":[90],"progress,":[91],"with":[92],"many":[93],"studies":[94],"proposed.":[95],"this":[97],"survey,":[98],"we":[99,105,156],"systematically":[100],"review":[101],"these":[102],"works.":[103],"Specifically,":[104],"first":[106],"introduce":[107],"challenges":[109],"bases":[111],"KDG,":[113],"then":[114],"categorize":[115],"summarize":[117],"existing":[119],"work":[120],"answering":[124],"following":[126],"three":[127],"questions:":[128],"(1)":[129],"what":[130],"distillate,":[132],"(2)":[133],"who":[134],"whom,":[136],"(3)":[138],"how":[139],"distillate.":[141],"We":[142],"offer":[143],"in-depth":[144],"comparisons":[145],"elucidate":[147],"strengths":[149],"weaknesses":[151],"each":[153],"design.":[154],"Finally,":[155],"share":[157],"our":[158],"thoughts":[159],"future":[161],"research":[162],"directions.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":26}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}