This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...

Official code for Paper "Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction". We implemented TFR using the framework provided by NoisyGL. You can find ...

Abstract: Many real-world relationships can be effectively represented as edge-labeled graphs, where edge labels encode semantic information vital for graph computations. Analyzing communities within ...

The overall architecture of MIRNet. The central diagram shows the main workflow: a pretrained MAE extracts image embeddings, a label graph is built from statistical dependencies, and a domain-aware ...