Abstract: In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating ...

Abstract: The class imbalance problem is a prevalent challenge in the domain of network science for node classification tasks, often leading to biased models and poor performance on minority classes.

This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...

Cybersecurity researchers have discovered a JScript-based command-and-control (C2) framework called PeckBirdy that has been put to use by China-aligned APT actors since 2023 to target multiple ...

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...