Are Large Language Models Good Temporal Graph Learners? Permalink
Shenyang Huang, Alipanah Parviz, Emma Kondrup, Zachary Yang, Zifeng Ding, Michael Bronstein, Reihaneh Rabbany, Guillaume Rabusseau ...
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It’s the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics Permalink
Matthew Kowal, Jasper Timm, J. Godbout, Thomas H Costello, A. Arechar, Gordon Pennycook, David Rand, Adam Gleave, Kellin Pelrine ...
Weak Supervision for Real World Graphs Permalink
Pratheeksha Nair, Reihaneh Rabbany Paper Abstract Node classification in real...
Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection Permalink
Zachary Yang, Domenico Tullo, Reihaneh Rabbany Paper Abstract Toxicity detect...
Rendering-Aware Reinforcement Learning for Vector Graphics Generation Permalink
Juan A. Rodriguez, Haotian Zhang, Abhay Puri, Aarash Feizi, Rishav Pramanik, Pascal Wichmann, Arnab Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslak...
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability Permalink
Punya Syon Pandey, Samuel Simko, Kellin Pelrine, Zhijing Jin Paper Abstract A...
The Structural Safety Generalization Problem Permalink
Julius Broomfield, Tom Gibbs, Ethan Kosak-Hine, George Ingebretsen, Tia Nasir, Jason Zhang, Reihaneh Iranmanesh, Sara Pieri, Reihaneh Rabbany, Kellin Pelrine...
From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions Permalink
Ruben Weijers, Denton Wu, Hannah Betts, Tamara Jacod, Yuxiang Guan, Vidya Sujaya, Kushal Dev, Toshali Goel, William Delooze, Reihaneh Rabbany, Ying Wu, J. Go...
PairBench: Are Vision-Language Models Reliable at Comparing What They See? Permalink
Aarash Feizi, Sai Rajeswar, Adriana Romero-Soriano, Reihaneh Rabbany, Valentina Zantedeschi, Spandana Gella, 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 Paper Abstract Rece...
Scalable Change Point Detection for Dynamic Graphs Permalink
Shenyang Huang, Guillaume Rabusseau, Reihaneh Rabbany Paper Abstract Real wor...
Investigating the Role of Social Bots During the 2019 Canadian Election Permalink
L. Rheault, Andreea Musulan Paper Abstract Threats of social media manipulati...
A Study on Active Learning for Graphs Permalink
Pratheeksha Nair, Zhi Wen Paper Abstract This is a comprehensive study of act...
SCG: Spotting Coordinated Groups in Social Media Permalink
Junhao Wang, Sacha Lévy, Ren Wang, Aayushi Kulshrestha, Guillaume Rabusseau, Reihaneh Rabbany Paper ...
A Note on the Unconditional Bias of the Nadaraya-Watson Regression Estimator Permalink
Kellin Pelrine Paper Abstract In this note we investigate the order of the un...
Assortativity: Proclivity Index for Attributed Networks (P RO N E ) Permalink
Reihaneh Rabbany, D. Eswaran, Artur W. Dubrawski, Christos Faloutsos Paper Abs...
PROCLIVITY PATTERNS IN ATTRIBUTED GRAPHS Permalink
Reihaneh Rabbany, D. Eswaran, C. Faloutsos, A. Dubrawski Paper Abstract Many ...
Mining Large Scale Data from National Educational Achievement Tests A Case Study Permalink
Reihaneh Rabbany, Osmar R Zaiane, Samira ElAtia Paper Abstract Large scale an...
Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective Permalink
Reihaneh Rabbany, Samira ElAtia, M. Takaffoli, Osmar R Zaiane Paper Abstract ...
Relative Validity Criteria for Community Mining Algorithms Synonyms Evaluation Permalink
Reihaneh Rabbany, Mansoreh Takaffoli, Justin Fagnan, Osmar R. Zäıane, R. Campello Paper ...
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 arXiv.org ...
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 arXiv.org...
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 arXiv.org Paper A...
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 arXiv.org ...
Scavenging Hyena: Distilling Transformers into Long Convolution Models Permalink
Tokiniaina Raharison Ralambomihanta, Shahrad Mohammadzadeh, Mohammad Sami Nur Islam, Wassim Jabbour, Laurence Liang arXiv.org ...
Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation Permalink
Tyler Vergho, J. Godbout, Reihaneh Rabbany, Kellin Pelrine arXiv.org Paper Abst...
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning Permalink
Aarash Feizi, Randall Balestriero, Adriana Romero-Soriano, Reihaneh Rabbany arXiv.org Paper ...
Exploiting Novel GPT-4 APIs Permalink
Kellin Pelrine, Mohammad Taufeeque, Michal Zajkac, Euan McLean, A. Gleave arXiv.org Paper ...
Open, Closed, or Small Language Models for Text Classification? Permalink
Hao Yu, Zachary Yang, Kellin Pelrine, J. Godbout, Reihaneh Rabbany arXiv.org Paper ...
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations Permalink
Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang arXiv.org Paper A...
ToxBuster: In-game Chat Toxicity Buster with BERT Permalink
Zachary Yang, Yasmine Maricar, M. Davari, Nicolas Grenon-Godbout, Reihaneh Rabbany arXiv.org Paper ...
Revisiting Hotels-50K and Hotel-ID Permalink
Aarash Feizi, Arantxa Casanova, Adriana Romero-Soriano, Reihaneh Rabbany arXiv.org Paper ...
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies Permalink
Abby Leung, Xiaoye Ding, Shenyang Huang, Reihaneh Rabbany arXiv.org Paper Abstr...
Group Equivariant Deep Reinforcement Learning Permalink
Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi arXiv.org Paper Abstract ...
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning Permalink
S. Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau arXiv.org Paper ...
SGP: Spotting Groups Polluting the Online Political Discourse Permalink
Junhao Wang, Sacha Lévy, Ren Wang, Aayushi Kulshrestha, Reihaneh Rabbany arXiv.org Paper ...
Neural Architecture Search for Class-incremental Learning Permalink
Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau arXiv.org Paper Abs...
Anomaly Detection with Joint Representation Learning of Content and Connection Permalink
Junhao Wang, Renhao Wang, Aayushi Kulshrestha, Reihaneh Rabbany arXiv.org Paper ...
Modular Networks for Validating Community Detection Algorithms Permalink
Justin Fagnan, Afra Abnar, Reihaneh Rabbany, Osmar R Zaiane arXiv.org Paper Abs...
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 Conference on Empirical Methods in Natural Language Processing ...
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 Conference on Empirical Methods in Natural Language Processing ...
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 Neural Information Processing Systems Paper ...
AAAI Conference on Artificial Intelligence
Can Go AIs Be Adversarially Robust? Permalink
Tom Tseng, Euan McLean, Kellin Pelrine, T. T. Wang, Adam Gleave AAAI Conference on Artificial Intelligence Paper ...
Scaling Trends for Data Poisoning in LLMs Permalink
Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine 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 AAAI Conference on Artificial Intelligence Paper ...
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 Pacific-Asia Conference on Knowledge Discovery and Data Mining Paper ...
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 Pacific-Asia Conference on Knowledge Discovery and Data Mining Pa...
Canadian AI
Graph learning with programmatic weak supervision Permalink
Pratheeksha Nair Canadian AI Paper Abstract None
Better Bridges Between Model and Real World Permalink
Kellin Pelrine Canadian AI Paper Abstract To build better machine learning sol...
When does Continuous Learning for BERT make sense? Permalink
Zachary Yang Canadian AI Paper Abstract None
Data mining and knowledge discovery
Generalization of clustering agreements and distances for overlapping clusters and network communities Permalink
Reihaneh Rabbany, Osmar R Zaiane Data mining and knowledge discovery Paper Abst...
Generalization of clustering agreements and distances for overlapping clusters and network communities Permalink
Reihaneh Rabbany, Osmar R Zaiane Data mining and knowledge discovery Paper Abst...
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 Knowledge Discovery and Data Mining Paper ...
Asian Conference on Machine Learning
Scaling up Simhash Permalink
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi Asian Conference on Machine Learning Paper ...
A Faster Sampling Algorithm for Spherical k-means Permalink
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, T. Dutt Asian Conference on Machine Learning Paper ...
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...
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 ACM Tr...
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs Permalink
Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany, Guillaume Rabusseau ACM Transactions on Knowledge Discovery from Data ...
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 Web Search and Data Mining Paper Abstract How to ...
International Conference on Learning Representations
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks Permalink
Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan...
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...
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 UNCERTAINLP Paper ...
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 2010 IEEE International Conference on Data...
Educational Data Mining
Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques Permalink
Reihaneh Rabbany, M. Takaffoli, Osmar R Zaiane Educational Data Mining Paper Ab...
Symposium on Web Systems Evolution
Web service matching for RESTful web services Permalink
Reihaneh Rabbany, Eleni Stroulia, Osmar R Zaiane Symposium on Web Systems Evolution Paper ...
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 2011 IEEE 11th International Conference on Data Mining Workshops Paper ...
SKDD
Social network analysis and mining to support the assessment of on-line student participation Permalink
Reihaneh Rabbany, M. Takaffoli, Osmar R Zaiane SKDD Paper Abstract There is a ...
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 International Conference on Advanced Data Mining and Applications ...
PLoS ONE
Generating Attributed Networks with Communities Permalink
C. Largeron, Pierre-Nicolas Mougel, Reihaneh Rabbany, Osmar R Zaiane PLoS ONE Paper ...
PAKDD Workshops
Evaluation of Community Mining Algorithms in the Presence of Attributes Permalink
Reihaneh Rabbany, Osmar R Zaiane PAKDD Workshops Paper Abstract None
ECML/PKDD
Social-Affiliation Networks: Patterns and the SOAR Model Permalink
D. Eswaran, Reihaneh Rabbany, A. Dubrawski, C. Faloutsos ECML/PKDD Paper Abstra...
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 2018 IEEE International Conference on Data Mining Workshops (ICDMW) Pap...
Research & Politics
Politicians in the line of fire: Incivility and the treatment of women on social media Permalink
L. Rheault, Erica Rayment, Andreea Musulan Research & Politics Paper Abstra...
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 BMC Psychiatry Paper ...
Canadian Journal of Political Science/Revue canadienne de science politique
Explaining Support for COVID-19 Cell Phone Contact Tracing Permalink
L. Rheault, Andreea Musulan Canadian Journal of Political Science/Revue canadienne de science politique Paper ...
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 ACM International Conference on Bioinformatics, Computa...
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 ACM International Conference on Bioinformatics, Computa...
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...
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 WNUT Paper ...
LatinX in AI at Neural Information Processing Systems Conference 2020
Graph Neural Networks Learn Twitter Bot Behaviour Permalink
Albert Orozco, Sacha Lévy, Reihaneh Rabbany LatinX in AI at Neural Information Processing Systems Conference 2020 Paper ...
Journal of Information Technology & Politics
Efficient detection of online communities and social bot activity during electoral campaigns Permalink
L. Rheault, Andreea Musulan Journal of Information Technology & Politics Paper ...
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...
Canadian Conference on AI
Understanding Capacity Saturation in Incremental Learning Permalink
Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau Canadian Conference on AI Paper ...
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 2021 International...
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 LatinX in AI at Neural Information Processing Systems Conference 2021 Paper ...
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...
Findings
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking Permalink
Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany Findings Paper Abs...
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 Journal of Pharmacy and Bioallied Sciences ...
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 2022 IEEE International Conference on Data Mining Workshops (ICDMW) ...
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...
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 Internat...
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,...
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 Web Science Conference Paper ...
2023 IEEE International Conference on Data Mining Workshops (ICDMW)
Exhaustive Evaluation of Dynamic Link Prediction Permalink
Farimah Poursafaei, Reihaneh Rabbany 2023 IEEE International Conference on Data Mining Workshops (ICDMW) Paper ...
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...
PERSONALIZE
Quantifying learning-style adaptation in effectiveness of LLM teaching Permalink
Ruben Weijers, Gabrielle Fidelis de Castilho, J. Godbout, Reihaneh Rabbany, Kellin Pelrine PERSONALIZE Paper ...
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...
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...
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...
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...
Social Network Analysis and Mining
SSRM: structural social role mining for dynamic social networks Permalink
Afra Abnar, M. Takaffoli, Reihaneh Rabbany, Osmar R Zaiane Social Network Analysis and Mining Paper ...
Communities validity: methodical evaluation of community mining algorithms Permalink
Reihaneh Rabbany, M. Takaffoli, Justin Fagnan, Osmar R Zaiane, R. Campello Social Network Analysis and Mining Paper ...