Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...

Epidemic modeling of infectious diseases equips governments and public health officials with the ability to predict outbreaks and minimize associated risks through timely intervention. Recently, the ...

Community detection in dynamic networks has become an interesting and popular research direction in recent years, widely used in electronic commerce, social media, and other fields. Evolutionary ...

Stop manually updating Excel charts by mastering dynamic ranges, spill operators, and custom threshold lines for seamless ...