{"id":"https://openalex.org/W4412825836","doi":"https://doi.org/10.1145/3711896.3737175","title":"Unveiling Mode Connectivity in Graph Neural Network","display_name":"Unveiling Mode Connectivity in Graph Neural Network","publication_year":2025,"publication_date":"2025-08-01","ids":{"openalex":"https://openalex.org/W4412825836","doi":"https://doi.org/10.1145/3711896.3737175"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737175","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737175","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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3711896.3737175","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054904240","display_name":"Bingheng Li","orcid":"https://orcid.org/0009-0000-0950-9012"},"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":false,"raw_author_name":"Bingheng Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0009-0000-0950-9012","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073466350","display_name":"Zhikai Chen","orcid":"https://orcid.org/0009-0009-7305-8629"},"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":false,"raw_author_name":"Zhikai Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0009-0009-7305-8629","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837991","display_name":"Haoyu Han","orcid":"https://orcid.org/0000-0002-2529-6042"},"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":false,"raw_author_name":"Haoyu Han","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, Eat Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-2529-6042","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, Eat Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081817176","display_name":"Shenglai Zeng","orcid":null},"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":false,"raw_author_name":"Shenglai Zeng","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0009-0001-9664-8017","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102689471","display_name":"Jingzhe Liu","orcid":"https://orcid.org/0009-0002-7968-2368"},"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":false,"raw_author_name":"Jingzhe Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0009-0002-7968-2368","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"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":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":"https://orcid.org/0000-0001-7125-3898","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, 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":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1308","last_page":"1317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9990000128746033,"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":0.9990000128746033,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9958000183105469,"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/T10320","display_name":"Neural Networks and Applications","score":0.993399977684021,"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":0.6666521430015564},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47675949335098267},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43732428550720215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3280279040336609},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30989065766334534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666521430015564},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47675949335098267},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43732428550720215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3280279040336609},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30989065766334534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737175","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737175","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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737175","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737175","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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2602671714","https://openalex.org/W2962688977","https://openalex.org/W2963272802","https://openalex.org/W2990138404","https://openalex.org/W3012562343","https://openalex.org/W3012644407","https://openalex.org/W3081203761","https://openalex.org/W3083448729","https://openalex.org/W3096209122","https://openalex.org/W4290875057","https://openalex.org/W4297969478","https://openalex.org/W4320060414","https://openalex.org/W4385573419","https://openalex.org/W4387848735","https://openalex.org/W4389775900","https://openalex.org/W4391935658","https://openalex.org/W4393153115","https://openalex.org/W4393160468","https://openalex.org/W4403390515","https://openalex.org/W4409363391","https://openalex.org/W6637618735","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"fundamental":[1],"challenge":[2],"in":[3,10,58,73,141],"understanding":[4],"graph":[5,82,92,142],"neural":[6],"networks":[7,75],"(GNNs)":[8],"lies":[9],"characterizing":[11],"their":[12],"optimization":[13],"dynamics":[14],"and":[15,23,109,119,144],"loss":[16,34,117],"landscape":[17],"geometry,":[18],"critical":[19],"for":[20,29,38,45,148],"improving":[21],"interpretability":[22],"robustness.":[24],"While":[25],"mode":[26,56,67,98,107],"connectivity-a":[27],"lens":[28],"analyzing":[30],"geometric":[31],"properties":[32,93],"of":[33,55],"landscapes-has":[35],"proven":[36],"insightful":[37],"other":[39],"deep":[40],"learning":[41,143],"architectures,":[42],"its":[43,121],"implications":[44],"GNNs":[46,63],"remain":[47],"unexplored.":[48],"This":[49],"work":[50],"presents":[51],"the":[52],"first":[53],"investigation":[54],"connectivity":[57,99,108],"GNNs.":[59],"We":[60,101],"uncover":[61],"that":[62,81],"exhibit":[64],"distinct":[65],"non-linear":[66],"connectivity,":[68],"diverging":[69],"from":[70],"patterns":[71],"observed":[72],"fully-connected":[74],"or":[76],"CNNs.":[77],"Crucially,":[78],"we":[79],"demonstrate":[80],"structure,":[83],"rather":[84],"than":[85],"model":[86],"architecture,":[87],"dominates":[88],"this":[89],"behavior,":[90],"with":[91,97,133],"like":[94],"homophily":[95],"correlating":[96],"patterns.":[100],"further":[102,129],"establish":[103],"a":[104,112,124,146],"link":[105],"between":[106],"generalization,":[110],"proposing":[111],"generalization":[113],"bound":[114],"based":[115],"on":[116],"barriers":[118],"revealing":[120],"utility":[122],"as":[123],"diagnostic":[125],"tool.":[126],"Our":[127],"findings":[128],"bridge":[130],"theoretical":[131],"insights":[132],"practical":[134],"implications:":[135],"they":[136],"rationalize":[137],"domain":[138],"alignment":[139],"strategies":[140],"provide":[145],"foundation":[147],"refining":[149],"GNN":[150],"training":[151],"paradigms.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}