Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...

This repository contains the experimental source code of the "Simultaneously Detecting Node and Edge Level Anomalies on Heterogeneous Attributed Graphs" paper presented at the IEEE World Congress on ...

NodeGraphQt is a node graph UI framework for PySide2 that can be implemented and re-purposed into applications.