Gang Li

activity

20182026

most citedFastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale

7 citations · 22 across the 12 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.AR2023

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization

Zeyu Zhu, Fanrong Li, Gang Li +5

Graph Neural Networks (GNNs) are becoming a promising technique in various domains due to their excellent capabilities in modeling non-Euclidean data. Although a spectrum of accele…

cs.LG2023★ 1 cited

$A^{2} Q$ : Aggregation-Aware Quantization for Graph Neural Networks

Zeyu Zhu, Fanrong Li, Zitao Mo +5

As graph data size increases, the vast latency and memory consumption during inference pose a significant challenge to the real-world deployment of Graph Neural Networks (GNNs). Wh…

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization

A2Q: Aggregation-Aware Quantization for Graph Neural Networks

$A^{2} Q$ : Aggregation-Aware Quantization for Graph Neural Networks