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Reihaneh Rabbany

Membre académique principal
Membre académique principal
Professeure adjointe, McGill University, Chaire en IA Canada-CIFAR

Reihaneh est professeure adjointe à la School of Computer Science de l’Université McGill. Auparavant, elle a été boursière postdoctorale à la faculté d’informatique de l’Université Carnegie Mellon. Elle a terminé son doctorat dans le département des sciences informatiques de l’Université de l’Alberta. Ses recherches se situent à l’intersection de la science des réseaux, de l’exploration de données et de l’apprentissage automatique, en mettant l’accent sur l’analyse de données interconnectées du monde réel et d’applications à valeur sociale.



TrafficVis: Visualizing Suspicious Meta-Clusters for Human Trafficking Detection
Catalina Vajiac, Andreas Olligschlaeger, Yifei Li, Pratheeksha Nair, Meng-Chieh Lee, Namyong Park, Reihaneh Rabbany, Duen Horng Chau and Christos Faloutsos
Ieee Vis: Visualization & Visual Analytics


SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
Farimah Poursafaei, Reihaneh Rabbany and Zeljko Zilic
PAKDD 2021
Graph Attention Networks with Positional Embeddings
Liheng Ma, Reihaneh Rabbany and Adriana Romero-Soriano


INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection
Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany and Christos Faloutsos
ICDE 2021
The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch and Reihaneh Rabbany


Incorporating dynamic flight network in SEIR to model mobility between populations
Xiaoye Ding, Shenyang Huang, Abby Leung and Reihaneh Rabbany


ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents.
Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho and Reihaneh Rabbany
EMNLP 2020


Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
Abby Leung, Xiaoye Ding, Shenyang Huang and Reihaneh Rabbany
arXiv preprint arXiv:2010.03081


Laplacian Change Point Detection for Dynamic Graphs
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau and Reihaneh Rabbany


Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
Sameer Sardaar, Bill Qi, Alexandre Dionne-Laporte, Guy. A. Rouleau, Reihaneh Rabbany and Yannis J. Trakadis
BMC Psychiatry


SCG: Spotting Coordinated Groups in Social Media
Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha and Reihaneh Rabbany
arXiv preprint arXiv:1910.07130
SGP: Spotting Groups Polluting the Online Political Discourse.
Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha and Reihaneh Rabbany
(venue unknown)


Anomaly Detection with Joint Representation Learning of Content and Connection
Junhao Wang, Renhao Wang, Aayushi Kulshrestha and Reihaneh Rabbany
arXiv preprint arXiv:1906.12328


Social-Affiliation Networks: Patterns and the SOAR Model
Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski and Christos Faloutsos
PKDD 2018


Active Search of Connections for Case Building and Combating Human Trafficking
Reihaneh Rabbany, David Bayani and Artur Dubrawski
KDD 2018

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