LearnGraph: A Learning-Based Architecture for Dynamic Graph Processing

Dynamic graph processing systems using conventional array-based architectures face significant throughput limitations due to inefficient memory access and index management. While learned indexes improve data structure access, they struggle with interconnected graph data. We present LearnGraph, a nov...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Zhang, Lingling, Wu, Yijian, Jiang, Hong, Zhou, Ziyu, Lu, Tiancheng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Adaptation models Data models Indexes Organizations Performance gain Predictive models Standards organizations Systems architecture Throughput Topology
Online Access:	Get full text
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