56 citations · 64 across the 6 of their papers we have counts for
9 papers
Active Keyword Selection to Track Evolving Topics on Twitter
Sacha Lévy, Farimah Poursafaei, Kellin Pelrine +1
How can we study social interactions on evolving topics at a mass scale? Over the past decade, researchers from diverse fields such as economics, political science, and public heal…
Graph Attention Networks with Positional Embeddings
Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
Graph Neural Networks (GNNs) are deep learning methods which provide the current state of the art performance in node classification tasks. GNNs often assume homophily -- neighbori…
The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany
As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unve…
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
Abby Leung, Xiaoye Ding, Shenyang Huang +1
The coronavirus disease 2019 (COVID-19) pandemic has quickly become a global public health crisis unseen in recent years. It is known that the structure of the human contact networ…
Incorporating Dynamic Flight Network in SEIR to Model Mobility between Populations
Xiaoye Ding, Shenyang Huang, Abby Leung +1
Current efforts of modelling COVID-19 are often based on the standard compartmental models such as SEIR and their variations. As pre-symptomatic and asymptomatic cases can spread t…
Laplacian Change Point Detection for Dynamic Graphs
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau +1
Dynamic and temporal graphs are rich data structures that are used to model complex relationships between entities over time. In particular, anomaly detection in temporal graphs is…