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Graph Neural Network Training with Data Tiering

Graph Neural Network Training with Data Tiering

10 November 2021
S. Min
Kun Wu
Mert Hidayetoğlu
Jinjun Xiong
Xiang Song
Wen-mei W. Hwu
    GNN
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Papers citing "Graph Neural Network Training with Data Tiering"

9 / 9 papers shown
Title
Comparing Methods for Bias Mitigation in Graph Neural Networks
Comparing Methods for Bias Mitigation in Graph Neural Networks
Barbara Hoffmann
R. Mayer
35
0
0
28 Mar 2025
Deal: Distributed End-to-End GNN Inference for All Nodes
Shiyang Chen
Xiang Song
Vasiloudis Theodore
Hang Liu
GNN
50
0
0
04 Mar 2025
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph
  Representation Learning
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
Gangda Deng
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Christopher Leung
Jianbo Li
Rajgopal Kannan
Viktor Prasanna
26
1
0
08 Feb 2024
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU
  Heterogeneous Environments
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments
Xin Ai
Qiange Wang
Chunyu Cao
Yanfeng Zhang
Chaoyi Chen
Hao Yuan
Yu Gu
Ge Yu
GNN
44
5
0
22 Nov 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale
  Graphs with In-memory Performance
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance
Jie Sun
Mo Sun
Zheng Zhang
Jun Xie
Zuocheng Shi
Zihan Yang
Jie Zhang
Fei Wu
Zeke Wang
GNN
42
5
0
02 Oct 2023
Accelerating Sampling and Aggregation Operations in GNN Frameworks with
  GPU Initiated Direct Storage Accesses
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
Jeongmin Brian Park
Vikram Sharma Mailthody
Zaid Qureshi
Wen-mei W. Hwu
GNN
31
11
0
28 Jun 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for
  Graph Neural Network Training
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
Kezhao Huang
Haitian Jiang
Minjie Wang
Guangxuan Xiao
David Wipf
Xiang Song
Quan Gan
Zengfeng Huang
Jidong Zhai
Zheng-Wei Zhang
GNN
33
2
0
18 Jan 2023
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Bin Cui
Lei Chen
GNN
AI4CE
11
56
0
01 Nov 2022
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
222
1,780
0
02 Mar 2017
1