Georgios C. Anagnostopoulos — accepted AI-conference papers

2023

Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods

Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos

AAAI 2023technical

Predicting user engagement -- whether a user will engage in a given information cascade -- is an important problem in the context of social media, as it is useful to online marketing and misinformation mitigation just to name a couple major applications. Based on split population multi-variate survi…

Cited by 3 Source ↗PDF ↗Scholar ↗

2022

Anytime Information Cascade Popularity Prediction via Self-Exciting Processes

Xi Zhang, Akshay Aravamudan, Georgios C Anagnostopoulos

ICML 2022spotlight

One important aspect of understanding behaviors of information cascades is to be able to accurately predict their popularity, that is, their message counts at any future time. Self-exciting Hawkes processes have been widely adopted for such tasks due to their success in describing cascading behavior…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗