{"id":"https://openalex.org/W4403577450","doi":"https://doi.org/10.1145/3627673.3679104","title":"Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools","display_name":"Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577450","doi":"https://doi.org/10.1145/3627673.3679104"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679104","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679104","pdf_url":null,"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 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3627673.3679104","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001199597","display_name":"Ruijie Wang","orcid":"https://orcid.org/0000-0003-1368-1688"},"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":true,"raw_author_name":"Ruijie Wang","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101090785","display_name":"Wanyu Zhao","orcid":"https://orcid.org/0009-0009-9598-3444"},"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":"Wanyu Zhao","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040820975","display_name":"Dachun Sun","orcid":"https://orcid.org/0000-0003-4000-2783"},"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":"Dachun Sun","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034476447","display_name":"Charith Mendis","orcid":"https://orcid.org/0000-0002-8140-2321"},"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":"Charith Mendis","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087114395","display_name":"Tarek Abdelzaher","orcid":"https://orcid.org/0000-0003-3883-7220"},"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":"Tarek Abdelzaher","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001199597"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16306267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5530","last_page":"5533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9897000193595886,"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":0.746633768081665},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4539700150489807},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45284947752952576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3629804849624634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3464050590991974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746633768081665},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4539700150489807},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45284947752952576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3629804849624634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3464050590991974}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679104","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679104","pdf_url":null,"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 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627673.3679104","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679104","pdf_url":null,"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 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2918342466","https://openalex.org/W2969280827","https://openalex.org/W2998116985","https://openalex.org/W3036685317","https://openalex.org/W3080555959","https://openalex.org/W3208451974","https://openalex.org/W4221164198","https://openalex.org/W4306316966","https://openalex.org/W4306801146","https://openalex.org/W4307930292","https://openalex.org/W4309302775","https://openalex.org/W4321445982","https://openalex.org/W4323276443","https://openalex.org/W4367046931","https://openalex.org/W4383180432","https://openalex.org/W4385636677","https://openalex.org/W4388103722","https://openalex.org/W4388662082","https://openalex.org/W4391556072","https://openalex.org/W4392384600","https://openalex.org/W4394998979","https://openalex.org/W4396571465","https://openalex.org/W4399175255","https://openalex.org/W4400525605","https://openalex.org/W4400525956","https://openalex.org/W6771247989","https://openalex.org/W6808239463"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Temporal":[0,20],"graphs":[1],"capture":[2],"dynamic":[3],"node":[4],"relations":[5],"via":[6],"temporal":[7,34,56,93,132],"edges,":[8],"finding":[9],"extensive":[10],"utility":[11],"in":[12,32,43,64,130,143],"wide":[13],"domains":[14],"where":[15],"time-varying":[16],"patterns":[17],"are":[18,82],"crucial.":[19],"Graph":[21],"Neural":[22],"Networks":[23],"(TGNNs)":[24],"have":[25],"gained":[26],"significant":[27,40],"attention":[28],"for":[29],"their":[30],"effectiveness":[31,100],"representing":[33],"graphs.":[35,94],"However,":[36],"TGNNs":[37,53],"still":[38],"face":[39],"efficiency":[41,106],"challenges":[42],"real-world":[44],"low-resource":[45],"settings.":[46],"First,":[47],"from":[48,74],"a":[49,75],"data-efficiency":[50],"standpoint,":[51],"training":[52,79],"requires":[54],"sufficient":[55],"edges":[57],"and":[58,71,80,114,121,123,141,148],"data":[59,69,144],"labels,":[60],"which":[61],"is":[62,101],"problematic":[63],"practical":[65],"scenarios":[66],"with":[67],"limited":[68],"collection":[70],"annotation.":[72],"Second,":[73],"resource-efficiency":[76],"perspective,":[77],"TGNN":[78],"inference":[81],"computationally":[83],"demanding":[84],"due":[85],"to":[86,138],"complex":[87],"encoding":[88],"operations,":[89],"especially":[90],"on":[91,118],"large-scale":[92],"Minimizing":[95],"resource":[96],"consumption":[97],"while":[98],"preserving":[99],"essential.":[102],"Inspired":[103],"by":[104],"these":[105],"challenges,":[107],"this":[108],"tutorial":[109,136],"systematically":[110],"introduces":[111],"state-of-the-art":[112],"data-efficient":[113],"resource-efficient":[115],"TGNNs,":[116],"focusing":[117],"algorithms,":[119],"frameworks,":[120],"tools,":[122],"discusses":[124],"promising":[125],"yet":[126],"under-explored":[127],"research":[128],"directions":[129],"efficient":[131],"graph":[133],"learning.":[134],"This":[135],"aims":[137],"benefit":[139],"researchers":[140],"practitioners":[142],"mining,":[145],"machine":[146],"learning,":[147],"artificial":[149],"intelligence.":[150]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
