Reihaneh Rabbany

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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

Complex data lab's blog & Twitter
Current members
Aarash Feizi, PhD student, extracting signals from images for counter human trafficking, co-supervised with Adriana Romero, 2019-
Andy Huang, PhD student, change and anomaly detection on dynamic graphs, co-supervised with Guillaume Rabusseau, 2019-
Farimah Poursafaei, PhD student, anomaly detection in blockchains, co-supervised with Zeljko Zilic, 2020-
Kellin Pelrine, PhD student, multi-view multi-task learning, 2020-
Pratheeksha Nair, PhD student, active learning on graphs, 2020-
Albert Orozco Camacho, MSc student, understanding trolls in social media platforms, 2019-
Anne Imouza, MSc student, COVID-19 conspiracy theories in social media, co-supervised with André Blais, 2020-
Jacob Danovitch, MSc student, interactive link retrieval, 2020-
Zachary Yang, MSc student, polarization in social media, 2021-
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-
Past members
Aayushi Kulshrestha, MSc student, Detection of organized activity in online escort advertisements, 2018-2021
Charlotte Ding, MSc student, Epidemiological modelling of a pandemic using mobility networks, 2019-2021
Junhao Wang, MSc student, Combating online misinformation by detecting organized groups on social media, 2018-2021
Liheng Ma, MSc student, Graph Attention Networks with auxiliary positional embedding models [co-supervised with Adriana Romero], winner of the Canadian Artificial Intelligence Association (CAIAC) 2021 Best Master's Thesis Award, eThesis, 2018-2020, now a PhD student at McGill ECE
Abby Leung, undergraduate research intern, Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies, arXiv, summer 2020-2021, starting a PhD at the network science institute

Publications

CV , google scholar, dblp
Selected papers
Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany, The Surprising Performance of Simple Baselines for Misinformation Detection, Proceedings of the 30th the Web Conference, April 2021; arXiv version code on github
Farimah Poursafaei, Reihaneh Rabbany, Zeljko Zilic, SIGTRAN: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks, Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), May 2021;   code on github
Liheng Ma, Reihaneh Rabbany, Adriana Romero, Graph Attention Networks with Positional Embeddings, Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), May 2021;  
Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany and Christos Faloutsos, InfoShield: Generalizable Information-Theoretic Human-Trafficking Detection, Proceedings of 37th IEEE International Conference on Data Engineering (ICDE), April 2021; code on github
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 papers
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