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RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
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RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations

Zirui Liu
Sheng-Wei Chen
Kaixiong Zhou
Daochen Zha
Xiao Huang
Helen Zhou
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Papers citing "RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations"

11 / 11 papers shown
Title
LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval
LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval
Luyao Zhuang
Qinggang Zhang
Huachi Zhou
Juhua Liu
Qing Li
Xiao Huang
RALMKELM
36
0
0
11 Aug 2025
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Josh Alman
Zhao Song
172
23
0
17 May 2025
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
Ruochen Liu
Hao-Heng Chen
Yuanchen Bei
Zhenhong Zhou
Lijia Chen
Zuobin Ying
Feiran Huang
Fakhri Karray
Shuaiqiang Wang
VLM
153
2
0
24 Feb 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
...
Hao-Heng Chen
Chuang Zhou
Yi-Ju Chang
Yi-Ju Chang
Xiao Huang
3DV
291
42
0
21 Jan 2025
Neuro-Symbolic Entity Alignment via Variational Inference
Neuro-Symbolic Entity Alignment via Variational Inference
Shengyuan Chen
Qinggang Zhang
Hao-Heng Chen
Wen Hua
Jiannong Cao
Xiao Huang
161
7
0
05 Oct 2024
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
Yang Cao
267
3
0
21 Aug 2024
Entity Alignment with Noisy Annotations from Large Language Models
Entity Alignment with Noisy Annotations from Large Language Models
Shengyuan Chen
Qinggang Zhang
Hao-Heng Chen
Wen Hua
Qing Li
Xiao Huang
167
20
0
27 May 2024
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
Hongwu Peng
Xi Xie
Kaustubh Shivdikar
Md Amit Hasan
Jiahui Zhao
Shaoyi Huang
Omer Khan
David Kaeli
Caiwen Ding
214
40
0
14 Dec 2023
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Zhaozhuo Xu
Zirui Liu
Beidi Chen
Yuxin Tang
Jue Wang
Kaixiong Zhou
Helen Zhou
Anshumali Shrivastava
MQ
158
36
0
17 May 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
130
47
0
07 Apr 2023
DIVISION: Memory Efficient Training via Dual Activation Precision
DIVISION: Memory Efficient Training via Dual Activation Precision
Guanchu Wang
Zirui Liu
Zhimeng Jiang
Ninghao Liu
Nannan Zou
Helen Zhou
MQ
144
4
0
05 Aug 2022

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