{"id":"https://openalex.org/W4410636627","doi":"https://doi.org/10.1145/3701716.3715496","title":"Leveraging Structural Information in Tree Ensembles for Table Representation Learning","display_name":"Leveraging Structural Information in Tree Ensembles for Table Representation Learning","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410636627","doi":"https://doi.org/10.1145/3701716.3715496"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3715496","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715496","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715496","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715496","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047609547","display_name":"Nikhil Pattisapu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nikhil Pattisapu","raw_affiliation_strings":["Amazon, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Amazon, Bengaluru, Karnataka, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041090300","display_name":"Siva Rajesh Kasa","orcid":"https://orcid.org/0000-0003-1509-4313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siva Rajesh Kasa","raw_affiliation_strings":["Amazon, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Amazon, Bengaluru, Karnataka, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050584122","display_name":"Sumegh Roychowdhury","orcid":"https://orcid.org/0000-0002-4246-2620"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sumegh Roychowdhury","raw_affiliation_strings":["Amazon, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Amazon, Bengaluru, Karnataka, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216848","display_name":"K.C. Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karan Gupta","raw_affiliation_strings":["Amazon, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Amazon, Bengaluru, Karnataka, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068407626","display_name":"Anish Bhanushali","orcid":null},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anish Bhanushali","raw_affiliation_strings":["IIIT Bangalore, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"IIIT Bangalore, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104194931","display_name":"Prasanna Srinivasa Murthy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prasanna Srinivasa Murthy","raw_affiliation_strings":["Target, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Target, Bengaluru, Karnataka, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5047609547"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09510154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1244","last_page":"1248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9904999732971191,"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":0.777614176273346},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6517787575721741},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6049795150756836},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5400465726852417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5265867114067078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4432951509952545},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.43460074067115784},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3926229178905487},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3773036003112793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28652238845825195},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.23843276500701904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12092691659927368},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11201858520507812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777614176273346},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6517787575721741},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6049795150756836},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5400465726852417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5265867114067078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4432951509952545},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.43460074067115784},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3926229178905487},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3773036003112793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28652238845825195},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.23843276500701904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12092691659927368},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11201858520507812},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701716.3715496","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715496","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715496","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701716.3715496","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715496","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715496","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410636627.pdf","grobid_xml":"https://content.openalex.org/works/W4410636627.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2898085636","https://openalex.org/W2950445386","https://openalex.org/W3101704389","https://openalex.org/W3162752841","https://openalex.org/W3170989320","https://openalex.org/W3202428668","https://openalex.org/W4293250578","https://openalex.org/W4376226279"],"related_works":["https://openalex.org/W2071459461","https://openalex.org/W2093885745","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2516987005","https://openalex.org/W2907786475","https://openalex.org/W2963447120","https://openalex.org/W4289082820","https://openalex.org/W2092152400","https://openalex.org/W2963196945"],"abstract_inverted_index":{"Tabular":[0],"data":[1,8,35,132,159],"is":[2,86],"one":[3],"of":[4,71,78,103],"the":[5,12,55,76,123],"most":[6],"common":[7],"formats":[9],"found":[10],"in":[11,16,75,160],"web":[13],"and":[14,22,40],"used":[15],"domains":[17],"like":[18],"finance,":[19],"banking,":[20],"e-commerce":[21],"medical.":[23],"Although":[24],"deep":[25,89],"neural":[26],"networks":[27],"(DNNs)":[28],"have":[29,98],"demonstrated":[30],"outstanding":[31],"performance":[32,140],"on":[33],"homogeneous":[34],"such":[36,46],"as":[37,47,85],"visual,":[38],"audio,":[39],"textual":[41,158],"data,":[42],"tree":[43,127],"ensemble":[44],"methods":[45,73],"Gradient":[48],"Boosted":[49],"Decision":[50],"Trees":[51],"(GBDTs)":[52],"are":[53],"often":[54],"go-to":[56],"choice":[57],"for":[58,108,146],"supervised":[59],"machine":[60],"learning":[61,90],"problems":[62],"involving":[63],"heterogeneous":[64],"tabular":[65,109,131,147,162],"data.":[66,110],"However,":[67],"a":[68,101,116],"major":[69],"limitation":[70],"these":[72],"lies":[74],"difficulty":[77],"plugging-in":[79],"other":[80],"modalities":[81],"(like":[82],"text,":[83],"images),":[84],"achievable":[87],"with":[88,157],"(DL)":[91],"models.":[92],"To":[93],"bridge":[94],"this":[95,112],"gap,":[96],"researchers":[97],"put":[99],"forth":[100],"multitude":[102],"DL":[104,144],"approaches":[105],"tailored":[106],"specifically":[107],"In":[111],"work,":[113],"we":[114],"propose":[115],"new":[117],"path":[118],"embedding-based":[119],"method":[120],"to":[121,129,142],"harness":[122],"structural":[124],"information":[125],"from":[126],"ensembles":[128],"improve":[130],"representation.":[133],"Our":[134],"approach":[135],"not":[136],"only":[137],"demonstrates":[138],"superior":[139],"compared":[141],"existing":[143],"models":[145],"classification":[148],"tasks":[149],"but":[150],"also":[151],"outperforms":[152],"competitive":[153],"baselines":[154],"when":[155],"combined":[156],"multimodal":[161],"transformers.":[163]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}