Reihaneh Rabbany

Reihaneh Rabbany

McGill University

H-index: 17

North America-Canada

About Reihaneh Rabbany

Reihaneh Rabbany, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at McGill University, specializes in the field of Data Mining, Machine Learning, Graph Mining, Network Science, Computational Social Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs

Temporal Graph Analysis with TGX

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning

Quantifying learning-style adaptation in effectiveness of LLM teaching

Uncertainty Resolution in Misinformation Detection

Temporal graph benchmark for machine learning on temporal graphs

Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation

Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation

Reihaneh Rabbany Information

University

Position

Assistant Professor of Computer Science ; Canada CIFAR AI Chair Mila

Citations(all)

1157

Citations(since 2020)

653

Cited By

706

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

26

i10Index(since 2020)

20

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Reihaneh Rabbany Skills & Research Interests

Data Mining

Machine Learning

Graph Mining

Network Science

Computational Social Science

Top articles of Reihaneh Rabbany

Title

Journal

Author(s)

Publication Date

Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs

ACM Transactions on Knowledge Discovery from Data

Shenyang Huang

Samy Coulombe

Yasmeen Hitti

Reihaneh Rabbany

Guillaume Rabusseau

2024/1/12

Temporal Graph Analysis with TGX

Razieh Shirzadkhani

Shenyang Huang

Elahe Kooshafar

Reihaneh Rabbany

Farimah Poursafaei

2024/3/4

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning

arXiv preprint arXiv:2401.01990

Aarash Feizi

Randall Balestriero

Adriana Romero-Soriano

Reihaneh Rabbany

2024/1/3

Quantifying learning-style adaptation in effectiveness of LLM teaching

Ruben Weijers

Gabrielle Fidelis De Castilho

Jean-François Godbout

Reihaneh Rabbany

Kellin Pelrine

2024/3

Uncertainty Resolution in Misinformation Detection

arXiv preprint arXiv:2401.01197

Yury Orlovskiy

Camille Thibault

Anne Imouza

Jean-François Godbout

Reihaneh Rabbany

...

2024/1/2

Temporal graph benchmark for machine learning on temporal graphs

Advances in Neural Information Processing Systems

Shenyang Huang

Farimah Poursafaei

Jacob Danovitch

Matthias Fey

Weihua Hu

...

2024/2/13

Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation

arXiv preprint arXiv:2401.08694

Mauricio Rivera

Jean-François Godbout

Reihaneh Rabbany

Kellin Pelrine

2024/1/13

Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation

arXiv preprint arXiv:2401.06920

Tyler Vergho

Jean-Francois Godbout

Reihaneh Rabbany

Kellin Pelrine

2024/1/12

T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking

Proceedings of the AAAI Conference on Artificial Intelligence

Pratheeksha Nair

Javin Liu

Catalina Vajiac

Andreas Olligschlaeger

Duen Horng Chau

...

2024/3/24

Fast and attributed change detection on dynamic graphs with density of states

Shenyang Huang

Jacob Danovitch

Guillaume Rabusseau

Reihaneh Rabbany

2023/5/25

Weakly Supervised Graph Contrastive Learning

Pratheeksha Nair

Reihaneh Rabbany

2023/10/13

Towards reliable misinformation mitigation: Generalization, uncertainty, and gpt-4

arXiv preprint arXiv:2305.14928

Kellin Pelrine

Meilina Reksoprodjo

Caleb Gupta

Joel Christoph

Reihaneh Rabbany

2023/5/24

Towards foundational models for molecular learning on large-scale multi-task datasets

arXiv preprint arXiv:2310.04292

Dominique Beaini

Shenyang Huang

Joao Alex Cunha

Gabriela Moisescu-Pareja

Oleksandr Dymov

...

2023/10/6

Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter

Maricarmen Arenas

Pratheeksha Nair

Reihaneh Rabbany

Golnoosh Farnadi

2023/4/30

Party Prediction for Twitter

arXiv preprint arXiv:2308.13699

Kellin Pelrine

Anne Imouza

Zachary Yang

Jacob-Junqi Tian

Sacha Lévy

...

2023/8/25

Exhaustive Evaluation of Dynamic Link Prediction

Farimah Poursafaei

Reihaneh Rabbany

2023/12/4

Open, Closed, or Small Language Models for Text Classification?

arXiv preprint arXiv:2308.10092

Hao Yu

Zachary Yang

Kellin Pelrine

Jean Francois Godbout

Reihaneh Rabbany

2023/8/19

Deltashield: Information theory for human-trafficking detection

ACM Transactions on Knowledge Discovery from Data

Catalina Vajiac

Meng-Chieh Lee

Aayushi Kulshrestha

Sacha Levy

Namyong Park

...

2023/3/30

SWEET-Weakly Supervised Person Name Extraction for Fighting Human Trafficking

Javin Liu

Hao Yu

Vidya Sujaya

Pratheeksha Nair

Kellin Pelrine

...

2023/12

[SRW] SWEET: Weakly Supervised Person Name Extraction for Fighting Human Trafficking

Javin Liu

Peter Yu

Vidya Sujaya

Pratheeksha Nair

Kellin Pelrine

...

2023/7

See List of Professors in Reihaneh Rabbany University(McGill University)

Co-Authors

H-index: 151
Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

H-index: 71
Osmar Zaiane

Osmar Zaiane

University of Alberta

H-index: 30
Artur Dubrawski

Artur Dubrawski

Carnegie Mellon University

H-index: 16
Jean-Francois Godbout

Jean-Francois Godbout

Université de Montréal

H-index: 14
Mansoureh Takaffoli

Mansoureh Takaffoli

University of Alberta

H-index: 14
Namyong Park

Namyong Park

Carnegie Mellon University

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