Posts by Tag

arXiv.org

Online Influence Campaigns: Strategies and Vulnerabilities Permalink

Andreea Musulan, Veronica Xia, Ethan Kosak-Hine, Tom Gibbs, Vidya Sujaya, Reihaneh Rabbany, J. Godbout, Kellin Pelrine

A Guide to Misinformation Detection Datasets Permalink

Data is a barrier to reliable misinformation detection solutions. To address this, we curated the largest collection of (mis)information datasets in the lite...

Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks Permalink

Tom Gibbs, Ethan Kosak-Hine, George Ingebretsen, Jason Zhang, Julius Broomfield, Sara Pieri, Reihaneh Iranmanesh, Reihaneh Rabbany, Kellin Pelrine

Data Poisoning in LLMs: Jailbreak-Tuning and Scaling Laws Permalink

Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, A. Gleave, Kellin Pelrine Paper ...

Regional and Temporal Patterns of Partisan Polarization during the COVID-19 Pandemic in the United States and Canada Permalink

The COVID-19 pandemic sparked rigorous debate about public health measures online, as the timing and extent of interventions unfolded. This project evaluates...

Can Go AIs be adversarially robust? Permalink

Tom Tseng, Euan McLean, Kellin Pelrine, T. T. Wang, A. Gleave

MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning Permalink

Kerstin Kläser, Bla.zej Banaszewski, S. Maddrell-Mander, Callum McLean, Luis Müller, Alipanah Parviz, Shenyang Huang, Andrew W. Fitzgibbon

Scavenging Hyena: Distilling Transformers into Long Convolution Models Permalink

Tokiniaina Raharison Ralambomihanta, Shahrad Mohammadzadeh, Mohammad Sami Nur Islam, Wassim Jabbour, Laurence Liang

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

Tyler Vergho, J. Godbout, Reihaneh Rabbany, Kellin Pelrine

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

Aarash Feizi, Randall Balestriero, Adriana Romero-Soriano, Reihaneh Rabbany

Exploiting Novel GPT-4 APIs Permalink

Kellin Pelrine, Mohammad Taufeeque, Michal Zajkac, Euan McLean, A. Gleave

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

Hao Yu, Zachary Yang, Kellin Pelrine, J. Godbout, Reihaneh Rabbany

Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations Permalink

Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang

ToxBuster: In-game Chat Toxicity Buster with BERT Permalink

Zachary Yang, Yasmine Maricar, M. Davari, Nicolas Grenon-Godbout, Reihaneh Rabbany

Revisiting Hotels-50K and Hotel-ID Permalink

Aarash Feizi, Arantxa Casanova, Adriana Romero-Soriano, Reihaneh Rabbany

Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies Permalink

Abby Leung, Xiaoye Ding, Shenyang Huang, Reihaneh Rabbany

Group Equivariant Deep Reinforcement Learning Permalink

Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi

RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning Permalink

S. Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau

SGP: Spotting Groups Polluting the Online Political Discourse Permalink

Junhao Wang, Sacha Lévy, Ren Wang, Aayushi Kulshrestha, Reihaneh Rabbany

Neural Architecture Search for Class-incremental Learning Permalink

Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau

Anomaly Detection with Joint Representation Learning of Content and Connection Permalink

Junhao Wang, Renhao Wang, Aayushi Kulshrestha, Reihaneh Rabbany

Modular Networks for Validating Community Detection Algorithms Permalink

Justin Fagnan, Afra Abnar, Reihaneh Rabbany, Osmar R Zaiane

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PairBench: A Systematic Framework for Selecting Reliable Judge VLMs Permalink

Aarash Feizi, Sai Rajeswar, Adriana Romero-Soriano, Reihaneh Rabbany, Spandana Gella, Valentina Zantedeschi, Joao Monteiro

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding Permalink

Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-Andr’e Noel, S...

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks Permalink

Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Franccois Savard, Ahmed Masry, Shravan Nayak, R...

Epistemic Integrity in Large Language Models Permalink

Bijean Ghafouri, Shahrad Mohammadzadeh, James Zhou, Pratheeksha Nair, Jacob-Junqi Tian, Mayank Goel, Reihaneh Rabbany, J. Godbout, Kellin Pelrine

FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation Permalink

Rohan Sukumaran, Aarash Feizi, Adriana Romero-Sorian, G. Farnadi Paper Abstrac...

Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training Permalink

Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, G. Farnadi Paper ...

A Simulation System Towards Solving Societal-Scale Manipulation Permalink

In this paper, we present a multi-agent simulator based on Deepmind’s Concordia, a software library for LLM-based multi-agent simulations of real world human...

TRAFFIC BOARD : Digital Spatio-Temporal Pinboard for Human Trafficking Detection Permalink

Catalina Vajiac, Duen Horng, †. Chau, Andreas M. Olligschlaeger, Pratheeksha Nair, Meng-Chieh Lee, M. Cazzolato, Reihaneh Rabbany, Christos Faloutsos

RAFFIC V IS : Fighting Human Trafﬁcking through Visualization Permalink

Catalina Vajiac, Andreas M. Olligschlaeger, Yifei Li, Pratheeksha Nair, Meng-Chieh Lee, Namyong Park, Reihaneh Rabbany, Duen Horng Chau, C. Faloutsos

Few Shot Image Generation via Implicit Autoencoding of Support Sets Permalink

Shenyang Huang, Kuan-Chieh Jackson Wang, Alireza Makhzani

Scalable Change Point Detection for Dynamic Graphs Permalink

Shenyang Huang, Guillaume Rabusseau, Reihaneh Rabbany

Investigating the Role of Social Bots During the 2019 Canadian Election Permalink

L. Rheault, Andreea Musulan

A Study on Active Learning for Graphs Permalink

Pratheeksha Nair, Zhi Wen

SCG: Spotting Coordinated Groups in Social Media Permalink

Junhao Wang, Sacha Lévy, Ren Wang, Aayushi Kulshrestha, Guillaume Rabusseau, Reihaneh Rabbany

A Note on the Unconditional Bias of the Nadaraya-Watson Regression Estimator Permalink

Kellin Pelrine

Assortativity: Proclivity Index for Attributed Networks (P RO N E ) Permalink

Reihaneh Rabbany, D. Eswaran, Artur W. Dubrawski, Christos Faloutsos

PROCLIVITY PATTERNS IN ATTRIBUTED GRAPHS Permalink

Reihaneh Rabbany, D. Eswaran, C. Faloutsos, A. Dubrawski

Mining Large Scale Data from National Educational Achievement Tests A Case Study Permalink

Reihaneh Rabbany, Osmar R Zaiane, Samira ElAtia

Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective Permalink

Reihaneh Rabbany, Samira ElAtia, M. Takaffoli, Osmar R Zaiane

Relative Validity Criteria for Community Mining Algorithms Synonyms Evaluation Permalink

Reihaneh Rabbany, Mansoreh Takaffoli, Justin Fagnan, Osmar R. Zäıane, R. Campello

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Applied Machine Learning

Course codes: COMP 551 (Winter 2025) Instructors: Reihaneh Rabbany Location: Stewart Biology Building S1/4 (lectures will be recorded) Time: Tuesday...

Applied Machine Learning

Course codes: COMP 551 (Winter 2025) Instructors: Reihaneh Rabbany, Isabeau Prémont-Schwarz Location: McConnell 204 Time: Mondays and Wednesdays, 14...

Applied Machine Learning

Course codes: COMP 551 (Winter 2023) Instructors: Reihaneh Rabbany Location: Stewart Biology Building S1/4 (lectures will be recorded) Time: Tuesday...

Applied Machine Learning

Course codes: COMP 551 (Winter 2022) Instructors: Reihaneh Rabbany Location: Remote (lectures will be recorded) Time: Tuesdays and Thursdays, 1:00 p...

Applied Machine Learning

Course codes: COMP 551 (Winter 2021) Instructors: Reihaneh Rabbany Location: Remote through MyCourse Course Website: here

Applied Machine Learning

Course codes: COMP 551 (Winter 2020) Instructors: Reihaneh Rabbany Classroom: Strathcona Anatomy & Dentistry M-1 Time: Tuesdays and Thursdays, 1...

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Conference on Empirical Methods in Natural Language Processing

SWEET : Weakly Supervised Person Name Extraction for Fighting Human Trafficking Permalink

SWEET is a weak supervision pipeline for extracting person names from noisy escort ads, addressing the challenge of limited labeled data. SWEET combines rule...

Towards Detecting Contextual Real-Time Toxicity for In-Game Chat Permalink

A simple and scalable model that reliably detects toxic content in real-time for a line of chat by including chat history and metadata. ToxBuster consistentl...

Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4 Permalink

We propose focusing on generalization, uncertainty, and how to leverage recent large language models, in order to create more practical tools to evaluate inf...

SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking Permalink

Javin Liu, Hao Yu, Vidya Sujaya, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany

Unveiling Identity Biases in Toxicity Detection : A Game-Focused Dataset and Reactivity Analysis Approach Permalink

Identity biases arise commonly from annotated datasets, can be propagated in language models and can cause further harm to marginal groups. Existing bias ben...

Structure Aware Negative Sampling in Knowledge Graphs Permalink

Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, A. Bose

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Network Science

Course codes: COMP 599 (Fall 2024) Instructors: Reihaneh Rabbany

Network Science

Course codes: COMP 599 (Fall 2022) Instructors: Reihaneh Rabbany Classroom: Rutherford Physics Building 114 Time: Tuesdays and Thursdays, 10:05 am -...

Network Science

Course codes: COMP 599 (Fall 2021) Instructors: Reihaneh Rabbany Classroom: Macdonald Engineering Building 276 [remote participation through zoom in M...

Network Science

Course codes: COMP 596 (Fall 2020) Instructors: Reihaneh Rabbany Location: Remote through MyCourses Time: Monday & Wednesday, 10:00 am – 11:30 p...

Network Science

Course codes: COMP 596 (Fall 2019) Instructors: Reihaneh Rabbany Classroom: ENGMC 103 Time: Tuesdays and Thursdays, 10:00 am – 11:30 pm Course Web...

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Neural Information Processing Systems

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs Permalink

TGB 2.0 introduces a novel benchmarking framework for evaluating methods for predicting future links on Temporal Knowledge Graphs (TKGs) and Temporal Heterog...

Temporal Graph Benchmark for Machine Learning on Temporal Graphs Permalink

In this paper, we introduce the Temporal Graph Benchmark (TGB), a comprehensive collection of large-scale, diverse datasets designed for the realistic, repro...

Towards Better Evaluation for Dynamic Link Prediction Permalink

In this work, we introduce new, more rigorous evaluation procedures for link prediction in dynamic graphs, addressing the challenges and real-world considera...

Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning Permalink

Siamak Ravanbakhsh, Reihaneh Rabbany, R. Greiner

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Pacific-Asia Conference on Knowledge Discovery and Data Mining

Fast and Attributed Change Detection on Dynamic Graphs with Density of States Permalink

We introduce a novel spectral method called Scalable Change Point Detection (SCPD) to address the limitations of current solutions in detecting anomalous cha...

Graph Attention Networks with Positional Embeddings Permalink

Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano

SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks Permalink

SigTran is an efficient graph-based method for identifying illicit nodes in blockchain networks. SigTran constructs a graph from blockchain transaction recor...

Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe) Permalink

Reihaneh Rabbany, D. Eswaran, A. Dubrawski, C. Faloutsos

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Canadian AI

Graph learning with programmatic weak supervision Permalink

Pratheeksha Nair

Better Bridges Between Model and Real World Permalink

Kellin Pelrine

When does Continuous Learning for BERT make sense? Permalink

Zachary Yang

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International Conference on Advances in Social Networks Analysis and Mining

Community evolution prediction in dynamic social networks Permalink

M. Takaffoli, Reihaneh Rabbany, Osmar R Zaiane

Incremental local community identification in dynamic social networks Permalink

M. Takaffoli, Reihaneh Rabbany, Osmar R Zaiane

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Social Network Analysis and Mining

SSRM: structural social role mining for dynamic social networks Permalink

Afra Abnar, M. Takaffoli, Reihaneh Rabbany, Osmar R Zaiane

Communities validity: methodical evaluation of community mining algorithms Permalink

Reihaneh Rabbany, M. Takaffoli, Justin Fagnan, Osmar R Zaiane, R. Campello

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Data mining and knowledge discovery

Generalization of clustering agreements and distances for overlapping clusters and network communities Permalink

Reihaneh Rabbany, Osmar R Zaiane

Generalization of clustering agreements and distances for overlapping clusters and network communities Permalink

Reihaneh Rabbany, Osmar R Zaiane

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AAAI Conference on Artificial Intelligence

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

Detecting suspicious ads is challenging due to the sensitive, complex, and unlabeled nature of the data. T-Net addresses this as a weakly supervised graph le...

A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters Permalink

Reihaneh Rabbany, Osmar R Zaiane

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Knowledge Discovery and Data Mining

Laplacian Change Point Detection for Dynamic Graphs Permalink

Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany Knowledge Discovery and Data Mining Paper ...

Active Search of Connections for Case Building and Combating Human Trafficking Permalink

Reihaneh Rabbany, David Bayani, A. Dubrawski

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Asian Conference on Machine Learning

Scaling up Simhash Permalink

Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi

A Faster Sampling Algorithm for Spherical k-means Permalink

Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, T. Dutt

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The Web Conference

VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking Permalink

Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, C. Faloutsos, Reihaneh Rabbany, Chieh ...

The Surprising Performance of Simple Baselines for Misinformation Detection Permalink

While many sophisticated detection models have been proposed in the literature, they were often compared with older NLP baselines such as SVMs, CNNs, and LST...

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ACM Transactions on Knowledge Discovery from Data

DeltaShield: Information Theory for Human- Trafficking Detection Permalink

Catalina Vajiac, Meng-Chieh Lee, Aayushi Kulshrestha, Sacha Lévy, Namyong Park, Andreas M. Olligschlaeger, Cara Jones, Reihaneh Rabbany, C. Faloutsos

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

Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany, Guillaume Rabusseau

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Web Search and Data Mining

Temporal Graph Analysis with TGX Permalink

Here we introduce TGX, a Python package specifically designed for the analysis of temporal networks, addressing a gap in existing software libraries that pri...

DisKeyword: Tweet Corpora Exploration for Keyword Selection Permalink

Sacha Lévy, Reihaneh Rabbany

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UNCERTAINLP

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

LLMs struggle with hallucinations and overconfident predictions. Uncertainty quantification can improve their reliability and helpfulness. We proposed an unc...

Uncertainty Resolution in Misinformation Detection Permalink

Yury Orlovskiy, Camille Thibault, Anne Imouza, J. Godbout, Reihaneh Rabbany, Kellin Pelrine

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Winter 2025

Applied Machine Learning

Course codes: COMP 551 (Winter 2025) Instructors: Reihaneh Rabbany Location: Stewart Biology Building S1/4 (lectures will be recorded) Time: Tuesday...

Applied Machine Learning

Course codes: COMP 551 (Winter 2025) Instructors: Reihaneh Rabbany, Isabeau Prémont-Schwarz Location: McConnell 204 Time: Mondays and Wednesdays, 14...

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2010 IEEE International Conference on Data Mining Workshops

Meerkat: Community Mining with Dynamic Social Networks Permalink

Jiyang Chen, Justin Fagnan, R. Goebel, Reihaneh Rabbany, Farzad Sangi, M. Takaffoli, Eric Verbeek, Osmar R Zaiane

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Educational Data Mining

Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques Permalink

Reihaneh Rabbany, M. Takaffoli, Osmar R Zaiane

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Symposium on Web Systems Evolution

Web service matching for RESTful web services Permalink

Reihaneh Rabbany, Eleni Stroulia, Osmar R Zaiane

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2011 IEEE 11th International Conference on Data Mining Workshops

A Diffusion of Innovation-Based Closeness Measure for Network Associations Permalink

Reihaneh Rabbany, Osmar R Zaiane

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SKDD

Social network analysis and mining to support the assessment of on-line student participation Permalink

Reihaneh Rabbany, M. Takaffoli, Osmar R Zaiane

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2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Relative Validity Criteria for Community Mining Algorithms Permalink

Reihaneh Rabbany, M. Takaffoli, Justin Fagnan, Osmar R Zaiane, R. Campello

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International Conference on Advanced Data Mining and Applications

Community Dynamics: Event and Role Analysis in Social Network Analysis Permalink

Justin Fagnan, Reihaneh Rabbany, M. Takaffoli, Eric Verbeek, Osmar R Zaiane

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PLoS ONE

Generating Attributed Networks with Communities Permalink

C. Largeron, Pierre-Nicolas Mougel, Reihaneh Rabbany, Osmar R Zaiane

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PAKDD Workshops

Evaluation of Community Mining Algorithms in the Presence of Attributes Permalink

Reihaneh Rabbany, Osmar R Zaiane

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ECML/PKDD

Social-Affiliation Networks: Patterns and the SOAR Model Permalink

D. Eswaran, Reihaneh Rabbany, A. Dubrawski, C. Faloutsos

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2018 IEEE International Conference on Data Mining Workshops (ICDMW)

A Scalable Clustering Algorithm for Serendipity in Recommender Systems Permalink

Anup Anand Deshmukh, Pratheeksha Nair, Shrisha Rao

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Research & Politics

Politicians in the line of fire: Incivility and the treatment of women on social media Permalink

L. Rheault, Erica Rayment, Andreea Musulan

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Fall 2019

Network Science

Course codes: COMP 596 (Fall 2019) Instructors: Reihaneh Rabbany Classroom: ENGMC 103 Time: Tuesdays and Thursdays, 10:00 am – 11:30 pm Course Web...

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Winter 2020

Applied Machine Learning

Course codes: COMP 551 (Winter 2020) Instructors: Reihaneh Rabbany Classroom: Strathcona Anatomy & Dentistry M-1 Time: Tuesdays and Thursdays, 1...

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BMC Psychiatry

Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia Permalink

Sameer Sardaar, B. Qi, Alexandre Dionne‐Laporte, G. Rouleau, Reihaneh Rabbany, Y. Trakadis

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Canadian Journal of Political Science/Revue canadienne de science politique

Explaining Support for COVID-19 Cell Phone Contact Tracing Permalink

L. Rheault, Andreea Musulan

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Fall 2020

Network Science

Course codes: COMP 596 (Fall 2020) Instructors: Reihaneh Rabbany Location: Remote through MyCourses Time: Monday & Wednesday, 10:00 am – 11:30 p...

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ACM International Conference on Bioinformatics

Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model Permalink

Yue Li, Pratheeksha Nair, Zhi Wen, I. Chafi, A. Okhmatovskaia, G. Powell, Yannan Shen, D. Buckeridge

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Computational Biology and Biomedicine

Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model Permalink

Yue Li, Pratheeksha Nair, Zhi Wen, I. Chafi, A. Okhmatovskaia, G. Powell, Yannan Shen, D. Buckeridge

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Applied Network Science

Incorporating dynamic flight network in SEIR to model mobility between populations Permalink

In this paper, we introduce a significant enhancement to the standard SEIR (Susceptible, Exposed, Infectious, Recovered) epidemiological model by integrating...

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WNUT

ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents Permalink

Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho, Reihaneh Rabbany

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LatinX in AI at Neural Information Processing Systems Conference 2020

Graph Neural Networks Learn Twitter Bot Behaviour Permalink

Albert Orozco, Sacha Lévy, Reihaneh Rabbany

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Winter 2021

Applied Machine Learning

Course codes: COMP 551 (Winter 2021) Instructors: Reihaneh Rabbany Location: Remote through MyCourse Course Website: here

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Journal of Information Technology & Politics

Efficient detection of online communities and social bot activity during electoral campaigns Permalink

L. Rheault, Andreea Musulan

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IEEE International Conference on Data Engineering

INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection Permalink

INFOSHIELD is a scalable, parameter-free, and interpretable tool for detecting near-duplicate document clusters, with applications in human trafficking detec...

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Canadian Conference on AI

Understanding Capacity Saturation in Incremental Learning Permalink

Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau

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Fall 2021

Network Science

Course codes: COMP 599 (Fall 2021) Instructors: Reihaneh Rabbany Classroom: Macdonald Engineering Building 276 [remote participation through zoom in M...

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2021 International Conference on Data Mining Workshops (ICDMW)

Online Partisan Polarization of COVID-19 Permalink

Zachary Yang, Anne Imouza, Kellin Pelrine, Sacha Lévy, Jiewen Liu, Gabrielle Desrosiers-Brisebois, J. Godbout, A. Blais, Reihaneh Rabbany

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LatinX in AI at Neural Information Processing Systems Conference 2021

Curating the Twitter Election Integrity Datasets for Better Online Troll Characterization Permalink

Albert Orozco, Reihaneh Rabbany

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SDM

A Strong Node Classification Baseline for Temporal Graphs Permalink

Here we introduce a robust and effective baseline method for node classification in temporal graphs, serving as a benchmark for evaluating more complex model...

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Findings

Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking Permalink

Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany

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Social Science Research Network

The Winners and Losers of Rental Tribunals Permalink

Andreea Musulan

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Winter 2022

Applied Machine Learning

Course codes: COMP 551 (Winter 2022) Instructors: Reihaneh Rabbany Location: Remote (lectures will be recorded) Time: Tuesdays and Thursdays, 1:00 p...

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Journal of Pharmacy and Bioallied Sciences

PCR-based Evaluation of Human Papillomavirus Genotypes in Oral Lichen Planus Permalink

A. Vijayan, Arvind Muthukrishnan, Aparna Nair, S. Fathima, Pratheeksha Nair, J. Roshan

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Fall 2022

Network Science

Course codes: COMP 599 (Fall 2022) Instructors: Reihaneh Rabbany Classroom: Rutherford Physics Building 114 Time: Tuesdays and Thursdays, 10:05 am -...

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2022 IEEE International Conference on Data Mining Workshops (ICDMW)

Active Keyword Selection to Track Evolving Topics on Twitter Permalink

Sacha L’evy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany

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IEEE Transactions on Visualization and Computer Graphics

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking Permalink

TrafficVis is an interactive interface for detecting and labeling human trafficking (HT) in clusters of escort ads. Developed with domain experts, it uses ad...

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International Conference on Machine Learning

Adversarial Policies Beat Superhuman Go AIs Permalink

T. T. Wang, A. Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Kellin Pelrine, Michael Dennis, Yawen Duan, V. Pogrebniak, S. Levine, Stuart Russell

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Winter 2023

Applied Machine Learning

Course codes: COMP 551 (Winter 2023) Instructors: Reihaneh Rabbany Location: Stewart Biology Building S1/4 (lectures will be recorded) Time: Tuesday...

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Trans. Mach. Learn. Res.

GPS++: Reviving the Art of Message Passing for Molecular Property Prediction Permalink

Dominic Masters, Josef Dean, K. Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, D. Beker, A. Fitzgibbon, Shenyang Huang, Ladislav Rampášek,...

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Web Science Conference

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

Maricarmen Arenas, Pratheeksha Nair, Reihaneh Rabbany, G. Farnadi

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International Conference on Web and Social Media

Party Prediction for Twitter Permalink

Partisanship has increasingly become a major point of contention in public discourse online, and as a result, researchers have developed a variety of methods...

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International Conference on Learning Representations

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets Permalink

D. Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Sam Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Muller, Jama...

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2023 IEEE International Conference on Data Mining Workshops (ICDMW)

Exhaustive Evaluation of Dynamic Link Prediction Permalink

Farimah Poursafaei, Reihaneh Rabbany

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EURALI

An Evaluation of Language Models for Hyperpartisan Ideology Detection in Persian Twitter Permalink

While LLMs have demonstrated how effective they can be for tasks in the English language, such as detecting social media users’ political ideology, their per...

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PERSONALIZE

Quantifying learning-style adaptation in effectiveness of LLM teaching Permalink

Ruben Weijers, Gabrielle Fidelis de Castilho, J. Godbout, Reihaneh Rabbany, Kellin Pelrine

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Scientific Reports

Static graph approximations of dynamic contact networks for epidemic forecasting Permalink

In this work, we introduce new, more rigorous evaluation procedures for link prediction in dynamic graphs, addressing the challenges and real-world considera...

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Games Res. Pract.

Game On, Hate Off: A Study of Toxicity in Online Multiplayer Environments Permalink

While game companies are addressing the call to reduce toxicity and promote player health, the need to understand toxicity trends across time is important. W...

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Learning on Graph Conference

UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs Permalink

Here we introduce the Unified Temporal Graph (UTG) framework, which integrates snapshot-based and event-based machine learning models for temporal graphs und...

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Conference on Language Modeling

Web Retrieval Agents for Evidence-Based Misinformation Detection Permalink

We demonstrated an effective two LLM agent architecture for misinformation detection and fact-checking. It can increase the macro F1 of misinformation detect...