Reihaneh Rabbany

My research is at the intersection of network science, data mining and machine learning, with a focus on analyzing real-world interconnected data, and social good applications.
If you are interested to work with me please check the information here and send me an email.

Teaching

• COMP 551: Applied Machine Learning, Winter 2021, syllabus
• [archived] COMP 596: Network Science, Fall 2020, syllabus
• [archived] COMP 551: Applied Machine Learning, Winter 2020, syllabus
• [archived] COMP 596: Network Science, Fall 2019, syllabus
• [archived] COMP 601: Colloquiums, Fall 2019 & Winter 2020, schedule

Group

• meet the team on our group page or follow us on twitter
• Aarash Feizi, PhD student, inferring the location of images for counter human trafficking [co-supervised with Adriana Romero], 2019-
• Pratheeksha Nair, PhD student, active learning on graphs, 2020-
• Kellin Pelrine, PhD student, multi-view multi-task learning, 2020-
• Farimah Poursafaei, PhD student, anomaly detection in blockchains, 2020-
• Albert Orozco Camacho, MSc student, understanding trolls in social media platforms, 2019-
• Jacob Danovitch, MSc student, event summarization in social media platforms, 2020-
• Charlotte Ding, MSc student, modelling diffusion on graphs, 2019-
• Andy Huang, MSc student, anomaly detection on graphs [co-supervised with Guillaume Rabusseau], 2019-
• Zachary Yang, MSc student, polarization in social media, 2021-
• [thesis submitted] Aayushi Kulshrestha, MSc student, spotting human trafficking online, 2018-2021
• [thesis submitted] Junhao Wang, MSc student, spotting polluting groups in twitter, 2018-2021
• [graduated] Liheng Ma, MSc student, local structural aware gnns [co-supervised with Adriana Romero], 2018-2020 [now a PhD student at McGill]
• Sacha Levy, research intern, counter human trafficking and twitter analysis projects, 2019-
• Yifei Li, research intern, counter human trafficking project focusing on named entity extraction, 2020-
• Abby Leung, research intern, epidemic modelling of covid-19 on contact networks, summer 2020-
• Raika Karimi, research intern, analyzing brain networks, summer 2020

Selected Publications

• CV , Publication list on google scholar, dblp
• Andy Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany, Laplacian Change Point Detection for Dynamic Graphs, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Aug 2020;   video code on github
• Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos, Social-Affiliation Networks: Patterns and the SOAR Model, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Sep 2018;   code on github
• Reihaneh Rabbany, David Bayani, Artur W. Dubrawski, Active Search of Connections for Case Building and Combating Human Trafficking, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Aug 2018;   video
• Reihaneh Rabbany, Dhivya Eswaran, Artur W. Dubrawski, Christos Faloutsos, Beyond Assortativity: Proclivity Index for Attributed Networks (PRONE), Proceedings of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2017;     code on github
• Reihaneh Rabbany, and Osmar R. Zaiane, A General Clustering Agreement Index: for Comparing Disjoint and Overlapping Clusters, Thirty-First AAAI Conference on Artificial Intelligence (AAAI), Feb 2017;    
• Reihaneh Rabbany, and Osmar R. Zaiane, Generalization of clustering agreements and distances for overlapping clusters and network communities, Data Mining and Knowledge Discovery Journal (DAMI), 29(5): 1458-1485, 2015;     code on github  ECML PKDD Slides ; publisher link

Other Publications

• Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha, Reihaneh Rabbany, SGP: Spotting Groups Polluting the Online Political Discourse, Oct 2019; arXiv link
• Junhao Wang, Ren Wang, Aayushi Kulshrestha, Reihaneh Rabbany, Anomaly Detection with Joint Representation Learning of Content and Connection, ICML workshop on AI for Social Good, June 2019.
• Justin Fagnan, Afra Abnar, Reihaneh Rabbany, Osmar R. Zaiane, Modular Networks for Validating Community Detection Algorithms, Jan 2018; arXiv link
• Reihaneh Rabbany, David Bayani, Artur W. Dubrawski, Active Link Inference for Case Building Investigation, NIPS workshop on Advances in Modeling and Learning Interactions from Complex Data, Dec 2017;     ( Poster)
• Reihaneh Rabbany, Dhivya Eswaran, Artur W. Dubrawski, Christos Faloutsos, Proclivity Patterns in Attributed Graphs, SIAM Workshop on Network Science (NS17), July 2017;    
• Reihaneh Rabbany, Modular Structure of Complex Networks, Ph.D. thesis, University of Alberta, Aug 2016;       library link
• Reihaneh Rabbany, and Osmar R. Zaiane, Evaluation of Community Mining Algorithms in the Presence of Attributes, Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE) Workshop, in conjunction with PAKDD, Ho Chi Minh City, Viet Nam, May 2015;       ; publisher link
• Christine Largeron, Pierre-Nicolas Mougel, Reihaneh Rabbany, and Osmar R. Zaiane, Generating Attributed Networks with Communities, Public Library of Science, PLoS ONE 10(4), 2015;   ; publisher link
• Siamak Ravanbakhsh, Reihaneh Rabbany, and Russell Greiner, Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning, Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, Dec 2014;   ; publisher link
• Reihaneh Rabbany, Samira ElAtia, and Osmar R. Zaiane, Mining Large Scale Data from National Educational Achievement Tests: A Case Study, Data Mining for Educational Assessment and Feedback Workshop in conjunction with KDD 2014, New York City, Aug 2014;  ,  
• Mansoureh Takaffoli, Reihaneh Rabbany, and Osmar R. Zaiane, Community Evolution Prediction in Dynamic Social Networks, 2014 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Beijing, China, Aug 2014;  
• Afra Abnar, Reihaneh Rabbany, and Osmar R. Zaiane, SSRM: Structural Social Role Mining for Dynamic Social Networks, 2014 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Beijing, China, Aug 2014;    
• Reihaneh Rabbany, Samira ElAtia, Mansoureh Takaffoli, and Osmar R. Zaiane, Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective", Springer edited book Educational Data Mining: Applications and Trends, Springer Series: Studies in Computational Intelligence, 2013,    ; publisher link
• Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaiane, and Ricardo J. G. B. Campello, Communities Validity: Methodical Evaluation of Community Mining Algorithms, Social Network Analysis and Mining (SNAM) Journal by Springer, 2013;    ; publisher link
• Mansoureh Takaffoli, Reihaneh Rabbany, and Osmar R. Zaiane, Incremental Local Community Identification in Dynamic Social Networks, 2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, Aug 2013;    (longer version  )  
• Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaiane, and Ricardo J. G. B. Campello, Relative Validity Criteria for Community Mining Algorithms, 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Aug 2012;        ; publisher link
  Also to appear at the Encyclopedia of Social Network Analysis and Mining by Springer, 2013.
• Reihaneh Rabbany and Osmar R. Zaiane, A Diffusion of Innovation-Based Closeness Measure for Network Associations, the COMMPER Workshop on Mining Communities and People Recommenders, in conjunction with the IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, December 2011;      
• Reihaneh Rabbany, Eleni Stroulia, Osmar R Zaiane, Web Service Matching for RESTful Web Services, 13th IEEE International Symposium on Web Systems Evolution, Williamsburg, VA, USA, September 30, 2011;      
• Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaiane, Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques, 4th International Conference on Educational Data Mining (EDM'11), Eindhoven, Netherlands, July 6-8, 2011,      ; publisher link
• Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaiane, Social Network Analysis and Mining to Support the Assessment of Online Student Participation, ACM SIGKDD Explorations on Educational Data mining, December 2011;    
• Jiyang Chen, Justin Fagnan, Randy Goebel, Reihaneh Rabbany, Farzad Sangi, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaiane, Meerkat: Community Mining with Dynamic Social Networks, IEEE International Conference on Data Mining (ICDM), Sydney, Australia, December 2010 (System prototype demonstration);  
• Reihaneh Rabbany, Community Mining and its Applications in Educational Environments, M.Sc. thesis, University of Alberta, Aug 2010; publisher link
• Reihaneh Rabbany, Jiyang Chen, Osmar R. Zaiane, Top leaders Community Detection Approach in Information Networks, 4th SNA-KDD Workshop on Social Network Mining and Analysis, in conjunction with the ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD), Washington, DC, July 25 2010;      

Software

• Community Evaluation, A framework available for evaluating community mining algorithms.
• TopLeaders, Detecting the community/clustering structure in relational datasets
• MeerkatED, Mining the Network of Students in Online Courses using social network analysis techniques