A research team led by Prof. Zhan Yang from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences, has recently introduced a novel unsupervised dual-stream model ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...