1 citations · 1 across the 10 of their papers we have counts for
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Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review
Sofiane Ennadir, Gabriela Zarzar Gandler, Filip Cornell +6
Graphs are ubiquitous in real-world applications, ranging from social networks to biological systems, and have inspired the development of Graph Neural Networks (GNNs) for learning…
Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study
Tianze Wang, Maryam Honari-Jahromi, Styliani Katsarou +5
This pilot study explores the application of language models (LMs) to model game event sequences, treating them as a customized natural language. We investigate a popular mobile ga…
player2vec: A Language Modeling Approach to Understand Player Behavior in Games
Tianze Wang, Maryam Honari-Jahromi, Styliani Katsarou +4
Methods for learning latent user representations from historical behavior logs have gained traction for recommendation tasks in e-commerce, content streaming, and other settings. H…