Abstract: The ubiquity of Graph Neural Networks (GNNs) emphasizes the imperative to assess their resilience against node injection attacks, a type of evasion attacks that impact victim models by ...

Vital nodes refer to specific nodes within a network that can exert a greater influence on the structure and functionality of the network compared to other nodes. During the past decades, people ...

Edge & Node, the team that created The Graph, has launched ampersend, a management platform for coordinating how autonomous AI agents operate and transact, the company said on Thursday. Built on ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

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 ...

Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks to stochastic processes and graph metanetworks. Representing these directed graphs ...