{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T16:09:40Z","timestamp":1769184580562,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T00:00:00Z","timestamp":1691107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["OAC-2107089,IIS-2236789"],"award-info":[{"award-number":["OAC-2107089,IIS-2236789"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,8,6]]},"DOI":"10.1145\/3580305.3599540","type":"proceedings-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T18:13:58Z","timestamp":1691172838000},"page":"1501-1511","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Using Motif Transitions for Temporal Graph Generation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1238-7738","authenticated-orcid":false,"given":"Penghang","family":"Liu","sequence":"first","affiliation":[{"name":"University at Buffalo, Buffalo, NY, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4945-6821","authenticated-orcid":false,"given":"Ahmet Erdem","family":"Sariy\u00fcce","sequence":"additional","affiliation":[{"name":"University at Buffalo, Buffalo, NY, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,8,4]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"University at Buffalo","author":"Center for Computational Research","year":"2021","unstructured":"Center for Computational Research , University at Buffalo , 2021 . http:\/\/hdl.handle. net\/10477\/79221. Center for Computational Research, University at Buffalo, 2021. http:\/\/hdl.handle. net\/10477\/79221."},{"key":"e_1_3_2_2_2_1","volume-title":"Mixed membership stochastic blockmodels. Advances in neural information processing systems 21","author":"Airoldi E. M.","year":"2008","unstructured":"Airoldi , E. M. , Blei , D. , Fienberg , S. , and Xing , E . Mixed membership stochastic blockmodels. Advances in neural information processing systems 21 ( 2008 ). Airoldi, E. M., Blei, D., Fienberg, S., and Xing, E. Mixed membership stochastic blockmodels. Advances in neural information processing systems 21 (2008)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0019869"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1132952.1132954"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.252631999"},{"key":"e_1_3_2_2_6_1","volume-title":"On random graphs i. Publicationes mathematicae 6, 1","author":"Erd's P.","year":"1959","unstructured":"Erd's , P. , and R\u00e9nyi , A . On random graphs i. Publicationes mathematicae 6, 1 ( 1959 ), 290--297. Erd's, P., and R\u00e9nyi, A. On random graphs i. Publicationes mathematicae 6, 1 (1959), 290--297."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1137\/19M1242252"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevX.6.031005"},{"key":"e_1_3_2_2_9_1","volume-title":"A cluster process representation of a self-exciting process. Journal of applied probability 11, 3","author":"Hawkes A. G.","year":"1974","unstructured":"Hawkes , A. G. , and Oakes , D . A cluster process representation of a self-exciting process. Journal of applied probability 11, 3 ( 1974 ), 493--503. Hawkes, A. G., and Oakes, D. A cluster process representation of a self-exciting process. Journal of applied probability 11, 3 (1974), 493--503."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.82.046105"},{"key":"e_1_3_2_2_11_1","volume-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics","author":"Ho Q.","year":"2011","unstructured":"Ho , Q. , Song , L. , and Xing , E . Evolving cluster mixed-membership blockmodel for time-evolving networks . In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics ( 2011 ), JMLRWorkshop and Conference Proceedings, pp. 342--350. Ho, Q., Song, L., and Xing, E. Evolving cluster mixed-membership blockmodel for time-evolving networks. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (2011), JMLRWorkshop and Conference Proceedings, pp. 342--350."},{"key":"e_1_3_2_2_12_1","volume-title":"Epidemiologically optimal static networks from temporal network data. PLoS computational biology 9, 7","author":"Holme P.","year":"2013","unstructured":"Holme , P. Epidemiologically optimal static networks from temporal network data. PLoS computational biology 9, 7 ( 2013 ), e1003142. Holme, P. Epidemiologically optimal static networks from temporal network data. PLoS computational biology 9, 7 (2013), e1003142."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2012.03.001"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btv227"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2007.92"},{"key":"e_1_3_2_2_16_1","first-page":"162","volume-title":"Proceedings of the International AAAI Conference on Web and Social Media","volume":"6","author":"Jurgens D.","year":"2012","unstructured":"Jurgens , D. , and Lu , T . -C. Temporal motifs reveal the dynamics of editor interactions in wikipedia . In Proceedings of the International AAAI Conference on Web and Social Media ( 2012 ), vol. 6 , pp. 162 -- 169 . Jurgens, D., and Lu, T.-C. Temporal motifs reveal the dynamics of editor interactions in wikipedia. In Proceedings of the International AAAI Conference on Web and Social Media (2012), vol. 6, pp. 162--169."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.046110"},{"key":"e_1_3_2_2_18_1","volume-title":"Universal features of correlated bursty behaviour. Scientific reports 2, 1","author":"Karsai M.","year":"2012","unstructured":"Karsai , M. , Kaski , K. , Barab\u00e1si , A.-L. , and Kert\u00e9sz , J . Universal features of correlated bursty behaviour. Scientific reports 2, 1 ( 2012 ), 397. Karsai, M., Kaski, K., Barab\u00e1si, A.-L., and Kert\u00e9sz, J. Universal features of correlated bursty behaviour. Scientific reports 2, 1 (2012), 397."},{"key":"e_1_3_2_2_19_1","volume-title":"Nonparametric multi-group membership model for dynamic networks. Advances in neural information processing systems 26","author":"Kim M.","year":"2013","unstructured":"Kim , M. , and Leskovec , J . Nonparametric multi-group membership model for dynamic networks. Advances in neural information processing systems 26 ( 2013 ). Kim, M., and Leskovec, J. Nonparametric multi-group membership model for dynamic networks. Advances in neural information processing systems 26 (2013)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1137\/130914218"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2011\/11\/P11005"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1307941110"},{"key":"e_1_3_2_2_23_1","volume-title":"June","author":"Leskovec J.","year":"2014","unstructured":"Leskovec , J. , and Krevl , A . SNAP Datasets , June 2014 . Leskovec, J., and Krevl, A. SNAP Datasets, June 2014."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/16\/8\/083038"},{"key":"e_1_3_2_2_25_1","unstructured":"Liu P. Acharyya R. Tillman R. E. Kimura S. Masuda N. and Sariyuce A. E. Temporal motifs for financial networks: A study on mercari jpmc and venmo platforms. https:\/\/arxiv.org\/abs\/2301.07791.  Liu P. Acharyya R. Tillman R. E. Kimura S. Masuda N. and Sariyuce A. E. Temporal motifs for financial networks: A study on mercari jpmc and venmo platforms. https:\/\/arxiv.org\/abs\/2301.07791."},{"key":"e_1_3_2_2_26_1","first-page":"1","article-title":"Temporal network motifs: Models, limitations, evaluation","volume":"35","author":"Liu P.","year":"2023","unstructured":"Liu , P. , Guarrasi , V. , and Sariyuce , A. E . Temporal network motifs: Models, limitations, evaluation . IEEE Transactions on Knowledge and Data Engineering 35 , 1 ( 2023 ), 945--957. Liu, P., Guarrasi, V., and Sariyuce, A. E. Temporal network motifs: Models, limitations, evaluation. IEEE Transactions on Knowledge and Data Engineering 35, 1 (2023), 945--957.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-05217-8"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0800332105"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1142\/q0268"},{"key":"e_1_3_2_2_30_1","volume-title":"Statistical clustering of temporal networks through a dynamic stochastic block model. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79, 4","author":"Matias C.","year":"2017","unstructured":"Matias , C. , and Miele , V . Statistical clustering of temporal networks through a dynamic stochastic block model. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79, 4 ( 2017 ), 1119--1141. Matias, C., and Miele, V. Statistical clustering of temporal networks through a dynamic stochastic block model. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79, 4 (2017), 1119--1141."},{"key":"e_1_3_2_2_31_1","volume-title":"D. J. Random graphs with arbitrary degree distributions and their applications. Physical review E 64, 2","author":"Newman M. E.","year":"2001","unstructured":"Newman , M. E. , Strogatz , S. H. , andWatts , D. J. Random graphs with arbitrary degree distributions and their applications. Physical review E 64, 2 ( 2001 ), 026118. Newman, M. E., Strogatz, S. H., andWatts, D. J. Random graphs with arbitrary degree distributions and their applications. Physical review E 64, 2 (2001), 026118."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018731"},{"key":"e_1_3_2_2_33_1","volume-title":"Modelling sequences and temporal networks with dynamic community structures. Nature communications 8, 1","author":"Peixoto T. P.","year":"2017","unstructured":"Peixoto , T. P. , and Rosvall , M . Modelling sequences and temporal networks with dynamic community structures. Nature communications 8, 1 ( 2017 ), 582. Peixoto, T. P., and Rosvall, M. Modelling sequences and temporal networks with dynamic community structures. Nature communications 8, 1 (2017), 582."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3487553.3524669"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-205698"},{"key":"e_1_3_2_2_36_1","volume-title":"Proceedings of the 14th International Workshop on Mining and Learning with Graphs","volume":"7","author":"Purohit S.","year":"2018","unstructured":"Purohit , S. , Holder , L. B. , and Chin , G . Temporal graph generation based on a distribution of temporal motifs . In Proceedings of the 14th International Workshop on Mining and Learning with Graphs ( 2018 ), vol. 7 . Purohit, S., Holder, L. B., and Chin, G. Temporal graph generation based on a distribution of temporal motifs. In Proceedings of the 14th International Workshop on Mining and Learning with Graphs (2018), vol. 7."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098145"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735496.2735504"},{"key":"e_1_3_2_2_39_1","first-page":"3","article-title":"-L. Modeling bursts and heavy tails in human dynamics","volume":"73","author":"V\u00e1zqez A.","year":"2006","unstructured":"V\u00e1zqez , A. , Oliveira , J. G. , Dezs\u00f6 , Z. , Goh , K.-I. , Kondor , I. , and Barab\u00e1si , A . -L. Modeling bursts and heavy tails in human dynamics . Physical Review E 73 , 3 ( 2006 ), 036127. V\u00e1zqez, A., Oliveira, J. G., Dezs\u00f6, Z., Goh, K.-I., Kondor, I., and Barab\u00e1si, A.-L. Modeling bursts and heavy tails in human dynamics. Physical Review E 73, 3 (2006), 036127.","journal-title":"Physical Review E"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1592665.1592675"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOAS311"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37210-0_22"},{"key":"e_1_3_2_2_43_1","volume-title":"Detecting communities and their evolutions in dynamic social networks-a bayesian approach. Machine learning 82, 2","author":"Yang T.","year":"2011","unstructured":"Yang , T. , Chi , Y. , Zhu , S. , Gong , Y. , and Jin , R . Detecting communities and their evolutions in dynamic social networks-a bayesian approach. Machine learning 82, 2 ( 2011 ), 157--189. Yang, T., Chi, Y., Zhu, S., Gong, Y., and Jin, R. Detecting communities and their evolutions in dynamic social networks-a bayesian approach. Machine learning 82, 2 (2011), 157--189."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450102"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1140\/epjb\/e2017-80122-8"},{"key":"e_1_3_2_2_46_1","first-page":"2","article-title":"Human interactive patterns in temporal networks","volume":"45","author":"Zhang Y.-Q.","year":"2015","unstructured":"Zhang , Y.-Q. , Li , X. , Xu , J. , and Vasilakos , A. V . Human interactive patterns in temporal networks . IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 , 2 ( 2015 ), 214--222. Zhang, Y.-Q., Li, X., Xu, J., and Vasilakos, A. V. Human interactive patterns in temporal networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems 45, 2 (2015), 214--222.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871694"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403082"}],"event":{"name":"KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Long Beach CA USA","acronym":"KDD '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599540","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3580305.3599540","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3580305.3599540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:52Z","timestamp":1750178272000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599540"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,4]]},"references-count":48,"alternative-id":["10.1145\/3580305.3599540","10.1145\/3580305"],"URL":"https:\/\/doi.org\/10.1145\/3580305.3599540","relation":{},"subject":[],"published":{"date-parts":[[2023,8,4]]},"assertion":[{"value":"2023-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}