{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T15:18:16Z","timestamp":1783696696613,"version":"3.55.0"},"reference-count":50,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T00:00:00Z","timestamp":1778544000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["cell.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Patterns"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.patter.2026.101586","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T14:48:23Z","timestamp":1781189303000},"page":"101586","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Graphlet- and motif-based link prediction in large networks"],"prefix":"10.1016","volume":"7","author":[{"given":"Wayne B.","family":"Hayes","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2922-9945","authenticated-orcid":false,"given":"Kimia","family":"Yazdani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.M.A.","family":"Nahian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ezra","family":"Alemu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.patter.2026.101586_bib1","doi-asserted-by":"crossref","first-page":"3902","DOI":"10.1007\/s11227-023-05591-8","article-title":"A comprehensive survey of link prediction methods","volume":"80","author":"Arrar","year":"2024","journal-title":"J. Supercomput."},{"key":"10.1016\/j.patter.2026.101586_bib2","article-title":"A review of link prediction applications in network biology","volume":"21","author":"Al Musawi","year":"2025","journal-title":"IEEE Access"},{"key":"10.1016\/j.patter.2026.101586_bib3","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1016\/j.physa.2010.11.027","article-title":"Link prediction in complex networks: A survey","volume":"390","author":"L\u00fc","year":"2011","journal-title":"Physica A Stat. Mech. Appl."},{"key":"10.1016\/j.patter.2026.101586_bib4","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1093\/bioinformatics\/bts688","article-title":"A novel link prediction algorithm for reconstructing protein\u2013protein interaction networks by topological similarity","volume":"29","author":"Lei","year":"2013","journal-title":"Bioinformatics"},{"key":"10.1016\/j.patter.2026.101586_bib5","series-title":"2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP)","first-page":"441","article-title":"Link Prediction in Social Networks: A Review","author":"Veeramallu","year":"2024"},{"key":"10.1016\/j.patter.2026.101586_bib6","doi-asserted-by":"crossref","first-page":"2157","DOI":"10.1007\/s00607-023-01227-0","article-title":"Link prediction approach to recommender systems","volume":"106","author":"Lakshmi","year":"2024","journal-title":"Computing"},{"key":"10.1016\/j.patter.2026.101586_bib7","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1186\/s12864-024-10361-8","article-title":"Protein features fusion using attributed network embedding for predicting protein-protein interaction","volume":"25","author":"Cao","year":"2024","journal-title":"BMC Genom."},{"key":"10.1016\/j.patter.2026.101586_bib8","series-title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2","first-page":"2621","article-title":"A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation","author":"Song","year":"2025"},{"key":"10.1016\/j.patter.2026.101586_bib9","series-title":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","first-page":"2686","article-title":"LPFormer: An Adaptive Graph Transformer for Link Prediction","author":"Shomer","year":"2024"},{"key":"10.1016\/j.patter.2026.101586_bib10","series-title":"International Conference on Computational Science","first-page":"178","article-title":"Retrofitting structural graph embeddings with node attribute information","author":"Bielak","year":"2022"},{"key":"10.1016\/j.patter.2026.101586_bib11","series-title":"Neural Information Processing: 26th International Conference, ICONIP 2019","first-page":"477","article-title":"Node-Edge Bilateral Attributed Network Embedding","author":"Mo","year":"2019"},{"key":"10.1016\/j.patter.2026.101586_bib12","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/s41540-022-00232-x","article-title":"SANA: cross-species prediction of Gene Ontology GO annotations via topological network alignment","volume":"8","author":"Wang","year":"2022","journal-title":"npj Syst. Biol. Appl."},{"key":"10.1016\/j.patter.2026.101586_bib13","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-76799-4","article-title":"Similarity-based link prediction in social networks using latent relationships between the users","volume":"10","author":"Zareie","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.patter.2026.101586_bib14","doi-asserted-by":"crossref","first-page":"43233","DOI":"10.1109\/ACCESS.2019.2908208","article-title":"Effective link prediction based on community relationship strength","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.patter.2026.101586_bib15","series-title":"Learning on Graphs Conference","article-title":"Similarity-based link prediction from modular compression of network flows","author":"Bl\u00f6cker","year":"2022"},{"key":"10.1016\/j.patter.2026.101586_bib16","series-title":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","first-page":"1758","article-title":"DotHash: Estimating set similarity metrics for link prediction and document deduplication","author":"Nunes","year":"2023"},{"key":"10.1016\/j.patter.2026.101586_bib17","series-title":"2023 IEEE International Conference on Data Mining (ICDM)","first-page":"1451","article-title":"Non-Negative Matrix Factorization for Link Prediction Preserving Row and Column Spaces","author":"Yan","year":"2023"},{"key":"10.1016\/j.patter.2026.101586_bib18","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104772","article-title":"A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding","volume":"137","author":"Nasiri","year":"2021","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.patter.2026.101586_bib19","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1177\/0165551519891345","article-title":"DeepLink: A novel link prediction framework based on deep learning","volume":"47","author":"Keikha","year":"2021","journal-title":"J. Inf. Sci."},{"key":"10.1016\/j.patter.2026.101586_bib20","series-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"1225","article-title":"Structural deep network embedding","author":"Wang","year":"2016"},{"key":"10.1016\/j.patter.2026.101586_bib21","series-title":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","first-page":"3333","article-title":"Exploiting common neighbor graph for link prediction","author":"Tian","year":"2020"},{"key":"10.1016\/j.patter.2026.101586_bib22","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1007\/s00778-023-00827-8","article-title":"Hypergraph motifs and their extensions beyond binary","volume":"33","author":"Lee","year":"2024","journal-title":"VLDB J"},{"key":"10.1016\/j.patter.2026.101586_bib23","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1049\/iet-syb.2020.0004","article-title":"Review of tools and algorithms for network motif discovery in biological networks","volume":"14","author":"Patra","year":"2020","journal-title":"IET Syst. Biol."},{"key":"10.1016\/j.patter.2026.101586_bib24","series-title":"Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019","first-page":"412","article-title":"Link prediction via higher-order motif features","author":"AbuOda","year":"2020"},{"key":"10.1016\/j.patter.2026.101586_bib25","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1086\/225469","article-title":"The strength of weak ties","volume":"78","author":"Granovetter","year":"1973","journal-title":"Am. J. Sociol."},{"key":"10.1016\/j.patter.2026.101586_bib26","series-title":"Proceedings of the 12th International Conference on Information and Knowledge Management (CIKM)","first-page":"556","article-title":"The link prediction problem for social networks","author":"Liben-Nowell","year":"2003"},{"key":"10.1016\/j.patter.2026.101586_bib27","doi-asserted-by":"crossref","first-page":"1240","DOI":"10.1038\/s41467-019-09177-y","article-title":"Network-based prediction of protein interactions","volume":"10","author":"Kov\u00e1cs","year":"2019","journal-title":"Nat. Commun."},{"key":"10.1016\/j.patter.2026.101586_bib28","doi-asserted-by":"crossref","first-page":"5363","DOI":"10.1093\/bioinformatics\/btz603","article-title":"BLANT\u2014fast graphlet sampling tool","volume":"35","author":"Maharaj","year":"2019","journal-title":"Bioinformatics"},{"key":"10.1016\/j.patter.2026.101586_bib29","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0181570","article-title":"Graphettes: Constant-time determination of graphlet and orbit identity including (possibly disconnected) graphlets up to size 8","volume":"12","author":"Hasan","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.patter.2026.101586_bib30","doi-asserted-by":"crossref","first-page":"e177","DOI":"10.1093\/bioinformatics\/btl301","article-title":"Biological network comparison using graphlet degree distribution","volume":"23","author":"Pr\u017eulj","year":"2007","journal-title":"Bioinformatics"},{"key":"10.1016\/j.patter.2026.101586_bib31","doi-asserted-by":"crossref","first-page":"226773","DOI":"10.1109\/ACCESS.2020.3045529","article-title":"Link Prediction Based on Orbit Counting and Graph Auto-Encoder","volume":"8","author":"Feng","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.patter.2026.101586_bib32","doi-asserted-by":"crossref","first-page":"1372","DOI":"10.1093\/bioinformatics\/btx758","article-title":"Efficiently counting all orbits of graphlets of any order in a graph using autogenerated equations","volume":"34","author":"Melckenbeeck","year":"2018","journal-title":"Bioinformatics"},{"key":"10.1016\/j.patter.2026.101586_bib33","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.1109\/TKDE.2013.2297929","article-title":"GRAFT: An efficient graphlet counting method for large graph analysis","volume":"26","author":"Rahman","year":"2014","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patter.2026.101586_bib34","series-title":"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence","first-page":"4292","article-title":"The Network Data Repository with Interactive Graph Analytics and Visualization","author":"Rossi","year":"2015"},{"key":"10.1016\/j.patter.2026.101586_bib35","doi-asserted-by":"crossref","first-page":"D535","DOI":"10.1093\/nar\/gkj109","article-title":"BioGRID: a general repository for interaction datasets","volume":"34","author":"Stark","year":"2006","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.patter.2026.101586_bib36","unstructured":"Leskovec, J., and Krevl, A. (2014). SNAP Datasets: Stanford Large Network Dataset Collection. http:\/\/snap.stanford.edu\/data."},{"key":"10.1016\/j.patter.2026.101586_bib37","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1038\/s41586-020-2188-x","article-title":"A reference map of the human binary protein interactome","volume":"580","author":"Luck","year":"2020","journal-title":"Nature"},{"key":"10.1016\/j.patter.2026.101586_bib38","series-title":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"1358","article-title":"Representation Learning for Attributed Multiplex Heterogeneous Network","author":"Cen","year":"2019"},{"key":"10.1016\/j.patter.2026.101586_bib39","doi-asserted-by":"crossref","first-page":"11067","DOI":"10.1109\/TPAMI.2023.3263079","article-title":"muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs","volume":"45","author":"Melton","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patter.2026.101586_bib40","doi-asserted-by":"crossref","DOI":"10.7717\/peerj-cs.822","article-title":"Recommendation algorithm based on attributed multiplex heterogeneous network","volume":"7","author":"Yang","year":"2021","journal-title":"PeerJ Comput. Sci."},{"key":"10.1016\/j.patter.2026.101586_bib41","series-title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining Vol. 1","first-page":"1044","article-title":"Attribute-Enhanced Similarity Ranking for Sparse Link Prediction","author":"Mattos","year":"2025"},{"key":"10.1016\/j.patter.2026.101586_bib42","series-title":"Learning on Graphs Conference 2025","first-page":"36-1","article-title":"Sub-Graph Based Diffusion Model for Link Prediction","author":"Li","year":"2025"},{"key":"10.1016\/j.patter.2026.101586_bib43","series-title":"Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS \u201923)","article-title":"Evaluating graph neural networks for link prediction: current pitfalls and new benchmarking","author":"Li","year":"2023"},{"key":"10.1016\/j.patter.2026.101586_bib44","series-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM)","first-page":"855","article-title":"node2vec: Scalable feature learning for networks","author":"Grover","year":"2016"},{"key":"10.1016\/j.patter.2026.101586_bib45","series-title":"International Conference on Learning Representations","first-page":"5124","article-title":"Revisiting link prediction: A data perspective","author":"Mao","year":"2024"},{"key":"10.1016\/j.patter.2026.101586_bib46","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/S0378-8733(03)00009-1","article-title":"Friends and neighbors on the web","volume":"25","author":"Adamic","year":"2003","journal-title":"Soc. Networks"},{"key":"10.1016\/j.patter.2026.101586_bib47","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1140\/epjb\/e2009-00335-8","article-title":"Predicting missing links via local information","volume":"71","author":"Zhou","year":"2009","journal-title":"Eur. Phys. J. B"},{"key":"10.1016\/j.patter.2026.101586_bib48","first-page":"547","article-title":"\u00c9tude comparative de la distribution florale dans une portion des Alpes et des Jura","volume":"37","author":"Jaccard","year":"1901","journal-title":"Bull. Soc. Vaudoise Sci. Nat."},{"key":"10.1016\/j.patter.2026.101586_bib49","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.286.5439.509","article-title":"Emergence of scaling in random networks","volume":"286","author":"Barab\u00e1si","year":"1999","journal-title":"Science"},{"key":"10.1016\/j.patter.2026.101586_bib50","unstructured":"Yazdani, K., Hayes, W.B., Nahian, S.M.A., and Alemu, E. (2026). Graphlet- and Motif-Based Link Prediction in Large Networks. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.20102478."}],"container-title":["Patterns"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666389926000954?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666389926000954?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T15:04:28Z","timestamp":1783695868000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666389926000954"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":50,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["S2666389926000954"],"URL":"https:\/\/doi.org\/10.1016\/j.patter.2026.101586","relation":{},"ISSN":["2666-3899"],"issn-type":[{"value":"2666-3899","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Graphlet- and motif-based link prediction in large networks","name":"articletitle","label":"Article Title"},{"value":"Patterns","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patter.2026.101586","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101586"}}