Noted that when α is 0, the architecture is equal to a single-task graph classification model. Besides, how we extract node representations is crucial to the discrimination task. In particular, we ...

Modeling functional connectivity changes during an auditory language task using line graph neural networks. Stein Acker 1 Jinqing Liang 1 Ninet Sinaii 2 Kristen Wingert 1 Atsuko Kurosu 1 Sunder Rajan ...

Graph learning is a promising approach that can learn the representations of nodes through graph structures, enabling the exploration of dependencies among multiple users and tasks, and thereby ...