Current semi-supervised graph classification methods, such as those based on pseudo-labels and knowledge distillation, still face limitations in effectively utilizing unlabeled graph data and ...

KASAL is a project designed for determining the symmetry axis orientation and the rotation center of rotationally symmetric objects. When using KASAL, users need to specify one of the eight predefined ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Synergistic power of functional foods and exercise in colorectal cancer control: targeting metabolism, mitochondrial function, redox homeostasis, exercise performance, neuroimmune signaling, and brain ...