Abstract: Dynamic graph processing systems using conventional array-based architectures face significant throughput limitations due to inefficient memory access and index management. While learned ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...

Abstract: Graph Neural Networks (GNNs) have found widespread application in malware detection tasks in recent years, aiming to uncover the malicious nature of target processes by aggregating ...

1 School of Big Data and Statistics, Guizhou University of Finance and Economics, Guiyang, China 2 Audit Office, Guizhou University of Finance and Economics, Guiyang, China The performance of Dynamic ...

Although four years have passed since its release, the adventures of Spider-Man from Insomniac Games are still captivating. It would seem that the gameplay and story are familiar – but once you put on ...

Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing with up-to-date facts, domain-specific information, or ...

Introduction: Voxel hierarchy on dynamic brain graphs is produced by k-core percolation on functional dynamic amplitude correlation of resting-state fMRI. Methods: Directed graphs and their ...

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction ...