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Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks

Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks

7 October 2024
Rui Xue
Tong Zhao
Neil Shah
Xiaorui Liu
    GNN
ArXiv (abs)PDFHTML

Papers citing "Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks"

15 / 15 papers shown
Title
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Helen Zhou
Neil Shah
GNN
118
39
0
30 Sep 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Haiyang Yu
Limei Wang
Bokun Wang
Meng Liu
Tianbao Yang
Shuiwang Ji
GNNAI4CE
83
39
0
14 Jun 2022
GNNAutoScale: Scalable and Expressive Graph Neural Networks via
  Historical Embeddings
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Matthias Fey
J. E. Lenssen
F. Weichert
J. Leskovec
GNN
50
134
0
10 Jun 2021
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
178
1,243
0
04 Nov 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User
  Engagement Prediction on Social Apps
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
Xianfeng Tang
Yozen Liu
Neil Shah
Xiaolin Shi
P. Mitra
Suhang Wang
AI4TS
101
44
0
10 Jun 2020
Layer-Dependent Importance Sampling for Training Deep and Large Graph
  Convolutional Networks
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou
Ziniu Hu
Yewen Wang
Song Jiang
Yizhou Sun
Quanquan Gu
GNN
101
283
0
17 Nov 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
969
0
10 Jul 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
153
1,281
0
20 May 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
250
3,184
0
19 Feb 2019
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
86
491
0
14 Sep 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
269
3,552
0
06 Jun 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
149
1,517
0
30 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,331
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
677
29,183
0
09 Sep 2016
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