most citedConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024

Global Context Enhanced Anomaly Detection of Cyber Attacks via Decoupled Graph Neural Networks

Ahmad Hafez

Recently, there has been a substantial amount of interest in GNN-based anomaly detection. Existing efforts have focused on simultaneously mastering the node representations and the…

cs.LG2021★ 1 cited

ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural Networks

Ahmad Hafez, Atulya Praphul, Yousef Jaradt +1

Learning node representations on temporal graphs is a fundamental step to learn real-word dynamic graphs efficiently. Real-world graphs have the nature of continuously evolving ove…