Abstract: Graph neural network (GNN) models are capable of capturing the intrinsic structure and semantic relationships within data and this mechanism grants them substantial potential advantages in ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

Abstract: Emotion recognition based on electroencephalography (EEG) has become an important topic in affective computing. However, current research does not utilize the relationship between channel ...