{"id":"https://openalex.org/W2805803042","doi":"https://doi.org/10.1145/3210259.3210266","title":"Heterogeneous subgraph features for information networks","display_name":"Heterogeneous subgraph features for information networks","publication_year":2018,"publication_date":"2018-06-05","ids":{"openalex":"https://openalex.org/W2805803042","doi":"https://doi.org/10.1145/3210259.3210266","mag":"2805803042"},"language":"en","primary_location":{"id":"doi:10.1145/3210259.3210266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3210259.3210266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","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/A5018128415","display_name":"Andreas Spitz","orcid":"https://orcid.org/0000-0002-5282-6133"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Spitz","raw_affiliation_strings":["Heidelberg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023951345","display_name":"Diego Elias Costa","orcid":"https://orcid.org/0000-0001-7084-2594"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diego Costa","raw_affiliation_strings":["Heidelberg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438001","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0003-2587-6028"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Heidelberg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074434578","display_name":"Jan Greulich","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Greulich","raw_affiliation_strings":["Heidelberg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083133070","display_name":"Johanna Gei\u00df","orcid":"https://orcid.org/0000-0002-1368-3280"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johanna Gei\u00df","raw_affiliation_strings":["Heidelberg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079593451","display_name":"Stefan Wiesberg","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Wiesberg","raw_affiliation_strings":["Heidelberg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061021795","display_name":"Michael Gertz","orcid":"https://orcid.org/0000-0003-4530-6110"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Gertz","raw_affiliation_strings":["Heidelberg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3379,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67791596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9986000061035156,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7576161623001099},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6585433483123779},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5890474915504456},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5242246389389038},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.510260820388794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4950351119041443},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4560357332229614},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.44354063272476196},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43683624267578125},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.43207767605781555},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.421953022480011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42087432742118835},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4144201874732971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40837469696998596},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3917333483695984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3854573369026184},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.379121333360672},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1992078721523285},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.13170963525772095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11421573162078857},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09067931771278381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576161623001099},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6585433483123779},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5890474915504456},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5242246389389038},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.510260820388794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4950351119041443},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4560357332229614},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.44354063272476196},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43683624267578125},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.43207767605781555},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.421953022480011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42087432742118835},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4144201874732971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40837469696998596},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3917333483695984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3854573369026184},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.379121333360672},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1992078721523285},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.13170963525772095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11421573162078857},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09067931771278381},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3210259.3210266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3210259.3210266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1830657834","https://openalex.org/W1888005072","https://openalex.org/W1932742904","https://openalex.org/W1972418517","https://openalex.org/W1973322735","https://openalex.org/W1975563293","https://openalex.org/W1978066268","https://openalex.org/W1985554184","https://openalex.org/W1985644065","https://openalex.org/W1987810983","https://openalex.org/W2001112169","https://openalex.org/W2006038621","https://openalex.org/W2010187764","https://openalex.org/W2018472652","https://openalex.org/W2029237417","https://openalex.org/W2035173902","https://openalex.org/W2036743095","https://openalex.org/W2056246507","https://openalex.org/W2057685268","https://openalex.org/W2060615452","https://openalex.org/W2070506828","https://openalex.org/W2089778614","https://openalex.org/W2092379971","https://openalex.org/W2095054612","https://openalex.org/W2110034858","https://openalex.org/W2112262143","https://openalex.org/W2112670219","https://openalex.org/W2117024463","https://openalex.org/W2153624566","https://openalex.org/W2154851992","https://openalex.org/W2161917555","https://openalex.org/W2164259805","https://openalex.org/W2170726034","https://openalex.org/W2271477464","https://openalex.org/W2296195624","https://openalex.org/W2337742504","https://openalex.org/W2354939339","https://openalex.org/W2423807589","https://openalex.org/W2437172682","https://openalex.org/W2437494956","https://openalex.org/W2441800701","https://openalex.org/W2515786142","https://openalex.org/W2556745442","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2997591727","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3115804642","https://openalex.org/W4251560691","https://openalex.org/W4302406680"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W2604893261","https://openalex.org/W2361654510","https://openalex.org/W2915540008","https://openalex.org/W2382155842","https://openalex.org/W2954463587","https://openalex.org/W2036065890","https://openalex.org/W2604114816","https://openalex.org/W2784583031","https://openalex.org/W2756897323"],"abstract_inverted_index":{"Networks":[0],"play":[1],"an":[2,107],"increasingly":[3],"important":[4],"role":[5],"in":[6,14,26,79,169],"modelling":[7],"real-world":[8],"systems":[9],"due":[10],"to":[11,33],"their":[12,121],"utility":[13],"representing":[15],"complex":[16],"connections.":[17],"For":[18],"predictive":[19,147],"analyses,":[20],"the":[21,38,45,76,80,101,110,130,146],"engineering":[22],"of":[23,30,40,71,82,103,115,132,149],"node":[24,72,92,167],"features":[25,48,144,152,163],"such":[27],"networks":[28,66],"is":[29],"fundamental":[31],"importance":[32,134],"machine":[34],"learning":[35],"applications,":[36],"where":[37],"lack":[39],"external":[41,96],"information":[42,77],"often":[43],"introduces":[44],"need":[46],"for":[47,109,123,135],"that":[49,90,141,153,160],"are":[50],"based":[51,94],"purely":[52],"on":[53,65,95],"network":[54],"topology.":[55],"Existing":[56],"feature":[57,133],"extraction":[58,112],"approaches":[59,89],"have":[60],"so":[61],"far":[62],"focused":[63],"primarily":[64],"with":[67],"just":[68],"one":[69],"type":[70],"and":[73,105,113,125,128,172],"thereby":[74],"disregarded":[75],"contained":[78],"topology":[81],"heterogeneous":[83,116,142,161],"networks,":[84],"or":[85],"used":[86],"domain":[87,155],"specific":[88],"incorporate":[91,154],"labels":[93],"knowledge.":[97,156],"Here,":[98],"we":[99,158],"generalize":[100],"notion":[102],"heterogeneity":[104],"present":[106],"approach":[108],"efficient":[111],"representation":[114],"subgraph":[117,143,162],"features.":[118],"We":[119],"evaluate":[120],"performance":[122],"rank-":[124],"label-prediction":[126],"tasks":[127,171],"explore":[129],"implications":[131],"prominent":[136],"subgraphs.":[137],"Our":[138],"experiments":[139],"reveal":[140],"reach":[145],"power":[148],"manually":[150],"engineered":[151],"Furthermore,":[157],"find":[159],"outperform":[164],"state-of-the-art":[165],"neural":[166],"embeddings":[168],"both":[170],"across":[173],"all":[174],"data":[175],"sets.":[176]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
