I'm about to start with a small hobby project of mine that I've been thinking about for a long time. In short, it will consist of two parts: gather data and visualize data. I would like to visualize ...

Temporal graphs serve as a powerful framework for representing networks whose connections evolve over time. By incorporating time‐stamped interactions, these models capture the dynamic nature of ...

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 ...