Predicting Tweet Engagement with Graph Neural Networks

Author:

Arazzi Marco1ORCID,Cotogni Marco1ORCID,Nocera Antonino1ORCID,Virgili Luca2ORCID

Affiliation:

1. University of Pavia, Italy

2. Polytechnic University of Marche, Italy

Publisher

ACM

Reference52 articles.

1. Martín Abadi , Ashish Agarwal , Paul Barham , Eugene Brevdo , Zhifeng Chen , Craig Citro , Greg  S Corrado , Andy Davis , Jeffrey Dean , and Matthieu Devin . 2016 . Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016). Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, and Matthieu Devin. 2016. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016).

2. A Two Step Ranking Solution for Twitter User Engagement

3. View, Like, Comment, Post: Analyzing User Engagement by Topic at 4 Levels across 5 Social Media Platforms for 53 News Organizations

4. What really matters?: characterising and predicting user engagement of news postings using multiple platforms, sentiments and topics;Aldous Kholoud Khalil;Behaviour & Information Technology,2022

5. RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline

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