Abstract: The node classification in graphs aims to predict the categories of unlabeled nodes utilizing a small set of labeled nodes. However, weighted graphs often contain noisy edges and anomalous ...

Abstract: The objective of node clustering is to identify distinct groups of vertices in a graph, ensuring that similar nodes are grouped together while dissimilar ones remain apart. Building on the ...

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 ...

A critical sandbox escape vulnerability has been disclosed in the popular vm2 Node.js library that, if successfully exploited, could allow attackers to run arbitrary code on the underlying operating ...

The LLM node runs via the Amp SDK and OpenRouter SDK. The editor acts as a visual wrapper around the SDK: it builds prompts from upstream node outputs and executes them with the SDK. Per-node model ...